@article{Suki2018A,
  author = {Suki, Dima and Wildrick, David M. and Sawaya, Raymond},
  title = {A time-tested information system in neurosurgical oncology},
  journal = {Frontiers in Oncology},
  year = {2018},
  volume = {8},
  doi = {10.3389/fonc.2018.00593},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063251817&doi=10.3389%2ffonc.2018.00593&partnerID=40&md5=4bdbec23d30485aa833cb7109e66102b},
  note = {Cited by: 2; All Open Access, Gold Open Access, Green Open Access},
  source = {Scopus},
  abstract = {The Brain and Spine Center at The University of Texas MD Anderson Cancer Center is a leading multidisciplinary referral center for patients with nervous system (NS) tumors. It has a wealth of clinical experience and an internationally recognized leadership role in the management of NS cancers. In that context, an informatics infrastructure that allows the archiving of both the prospective and retrospective characterization of patients, diseases, treatments, and outcomes is invaluable. We describe our experience with the Neurosurgical Oncology Database, a database that has provided valuable, extensive, and readily searchable data on multifaceted patient, tumor, and treatment characteristics for many years, successfully serving as an administrative and operational resource and as a resource for retrospective and prospective research endeavors. Copyright © 2018 Suki, Wildrick and Sawaya. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.},
  document_type = {Article},
  author_keywords = {Data management; Database; Informatics; Information systems; Neurosurgical oncology},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45954.6058217593},
  created_by = {laura2910},
  updated_by = {oscar1485},
  status = {Rejected},
  x_title = {A time-tested information system in neurosurgical oncology},
  x_author = {Suki, Dima and Wildrick, David M. and Sawaya, Raymond},
  x_journal = {Frontiers in Oncology},
  x_year = {2018},
  x_volume = {8},
  x_doi = {10.3389/fonc.2018.00593},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063251817&doi=10.3389%2ffonc.2018.00593&partnerID=40&md5=4bdbec23d30485aa833cb7109e66102b}
}
@inproceedings{Wanderer2019Trends,
  author = {Wanderer, Jonathan P. and Gratch, David M. and Jacques, Paul St. and Rodriquez, Luis I. and Epstein, Richard H.},
  title = {Trends in the Prevalence of Intraoperative Adverse Events at Two Academic Hospitals after Implementation of a Mandatory Reporting System},
  journal = {Anesthesia and Analgesia},
  booktitle = {Anesthesia and Analgesia},
  year = {2019},
  volume = {126},
  pages = {134 – 140},
  doi = {10.1213/ANE.0000000000002447},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038363773&doi=10.1213%2fANE.0000000000002447&partnerID=40&md5=c88718a77fb02daafc4e1b87d8556e96},
  note = {Cited by: 14},
  source = {Scopus},
  abstract = {BACKGROUND: Anesthesia information management systems (AIMSs) have been effectively used to improve quality in anesthesia care, and have enabled the development of mandatory quality assurance (QA) reporting systems for adverse events (AEs). While this approach has been shown to increase event reporting over time, the long-term effect of such a system on quality is unknown. We investigated the trends in AE reporting over time after implementing AIMS-based mandatory reporting systems at 2 academic medical centers. METHODS: At Thomas Jefferson University Hospital, AEs were retrieved after implementation of a mandatory QA process in 2013. These AEs were categorized as preventable and unpreventable. The rates of overall preventable and unpreventable AEs were analyzed over time. At Vanderbilt University Medical Center, the rates of AEs were analyzed after establishing a mandatory QA process in 2002. Data were binned by quarter, and trends over time were analyzed using the Mann-Kendall test. RESULTS: At Thomas Jefferson University Hospital, over a period of 2 years after implementation of a mandatory QA process, the documented AE rate decreased from 1.23% to 0.64% (P <.0001). This decrease occurred primarily in the group of preventable AEs, which declined from 1.01% to 0.52% (P =.014). The rate of unpreventable AEs was unchanged, from 0.22% to 0.12% (P =.12). At Vanderbilt University Medical Center, over a 7-year period after implementation, the AE rate decreased from 4.20% to 1.36% (P <.0001). CONCLUSIONS: After implementation of a mandatory QA process at 2 academic medical centers, documented AE rates decreased significantly. The decrease observed in preventable AEs, with unchanged rates of unpreventable AEs, demonstrates that mandatory reporting of intraoperative AEs was followed by a reduction in preventable intraoperative AEs. If our findings are replicated at other institutions and are shown to have a stronger trend compared with institutions where the implementation was not conducted, or there was a change from preimplementation trends, adding mandatory perioperative outcomes reporting in the AIMS may represent a valuable method to improve the overall safety of anesthesia. © 2017 International Anesthesia Research Society.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45544.988287037},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Trends in the Prevalence of Intraoperative Adverse Events at Two Academic Hospitals after Implementation of a Mandatory Reporting System},
  x_author = {Wanderer, Jonathan P. and Gratch, David M. and Jacques, Paul St. and Rodriquez, Luis I. and Epstein, Richard H.},
  x_year = {2019},
  x_pages = {134 – 140},
  x_doi = {10.1213/ANE.0000000000002447},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038363773&doi=10.1213%2fANE.0000000000002447&partnerID=40&md5=c88718a77fb02daafc4e1b87d8556e96}
}
@article{Akanmu2019Designing,
  author = {Akanmu, Semiu Ayobami and Jamaluddin, Zulikha},
  title = {Designing information visualization for higher education institutions: A pre-design study},
  journal = {Journal of Information and Communication Technology},
  year = {2019},
  volume = {15},
  pages = {145 – 163},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010190272&partnerID=40&md5=31caec72a808ed3bc69d067013034b44},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {The multidimensionality of students' data and the limitations of the currently-used data management tools in higher education institutions (HEIs) have been identified as causes of constrained decision-making process in the domain. This, therefore, necessitates a pre-design study for the HEI students' data-focused InfoVis. The objectives of this study are to identify the prevailing practices of HEI data management, the data analytics methods that are generally employed by HEI data analysts and the comprehensive dimensions that are related to HEI students and adequate for conveying the domain explicit knowledge preferences. A mixed method approach with survey questionnaire and interview as data collection methods, is used. The contributions of this study, among others, are: (i) identification of the pattern and relationship of the domains explicit knowledge preferences; and (ii) the elicitation and description of students' data dimensions. These are expected to form the basis for the choice and implementation of the content delivery techniques in designing the domain-focused InfoVis. Our future works therefore entail developing the HEI InfoVis conceptual framework, designing the HEI students' data-focused InfoVis and conducting its users' experimental evaluation.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45544.9875925926},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Designing information visualization for higher education institutions: A pre-design study},
  x_author = {Akanmu, Semiu Ayobami and Jamaluddin, Zulikha},
  x_journal = {Journal of Information and Communication Technology},
  x_year = {2019},
  x_pages = {145 – 163},
  x_volume = {15},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010190272&partnerID=40&md5=31caec72a808ed3bc69d067013034b44}
}
@inproceedings{Rodmunkong2019The,
  author = {Rodmunkong, Thassanee and Wannapiroon, Panita and Nilsook, Prachyanun},
  title = {The architecture of Information Management System through cloud computing according to Thai Qualifications Framework for Higher Education},
  journal = {Proceedings of 2015 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2015},
  booktitle = {Proceedings of 2015 IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2015},
  year = {2019},
  pages = {181 – 188},
  doi = {10.1109/TALE.2015.7386041},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963517153&doi=10.1109%2fTALE.2015.7386041&partnerID=40&md5=96074d2000a26677998b87567a22726d},
  note = {Cited by: 7},
  source = {Scopus},
  abstract = {This research presents the architecture of Information Management System through cloud computing according to Thai Qualifications Framework for Higher Education. The result of research has been found that the architecture of Information Management System through cloud computing according to Thai Qualifications Framework for Higher Education has seven essential elements as follows 1) TQF as a Service System 2) TQF as a Service DPS 3) TQF as a Service IMS 4) TQF as a Service Report 5) Feedback 6) Cloud Computing Technology and 7) Users. All elements are coordinate working with each other for facilitating of documentary management system curriculum in according to Thai Qualifications Framework for Higher Education. The seven elements are the implementation, store, collection, communication, control and follow up, knowledge sharing and information accessing among administrator, instructor and student of education quality assurance section or internal and external related parties in educational institution including other related institutions such as the office of the basic education commission and the office for National Education Standards and Quality Assessment. The evaluation result regarding congruity of the architecture of Information Management System through cloud computing according to Thai Qualifications Framework for Higher Education from eleven experts was appropriate at the highest level. © 2015 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45544.9838657407},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {The architecture of Information Management System through cloud computing according to Thai Qualifications Framework for Higher Education},
  x_author = {Rodmunkong, Thassanee and Wannapiroon, Panita and Nilsook, Prachyanun},
  x_year = {2019},
  x_pages = {181 – 188},
  x_doi = {10.1109/TALE.2015.7386041},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84963517153&doi=10.1109%2fTALE.2015.7386041&partnerID=40&md5=96074d2000a26677998b87567a22726d}
}
@inproceedings{Xie2021Solution,
  author = {Xie, Qiao and Zhang, HuanMing and Tang, Yirong and Lin, Min},
  title = {Solution Ideas and Practices for Data Governance Engineering in Colleges and universities},
  journal = {E3S Web of Conferences},
  booktitle = {E3S Web of Conferences},
  year = {2021},
  volume = {253},
  doi = {10.1051/e3sconf/202125303023},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105959685&doi=10.1051%2fe3sconf%2f202125303023&partnerID=40&md5=04cf4952377fd7ea2b753b76394d753e},
  note = {Cited by: 2; All Open Access, Gold Open Access, Green Open Access},
  source = {Scopus},
  abstract = {Effectively improving and enhancing the data quality of colleges and universities is the most fundamental goal of university data governance. In this paper, first of all, the causes of data quality problems in colleges and universities are analyzed, and then the general idea of improving data quality is put forward, in which introduces how to identify data quality problems, how to solve data quality problems through technical and business means and how to make the data quality management of colleges and universities form a long-term mechanism through the construction of the system. © The Authors, published by EDP Sciences, 2021.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45542.6769560185},
  updated_at = {45544.6356828704},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Solution Ideas and Practices for Data Governance Engineering in Colleges and universities},
  x_author = {Xie, Qiao and Zhang, HuanMing and Tang, Yirong and Lin, Min},
  x_year = {2021},
  x_doi = {10.1051/e3sconf/202125303023},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105959685&doi=10.1051%2fe3sconf%2f202125303023&partnerID=40&md5=04cf4952377fd7ea2b753b76394d753e}
}
@article{Uzorka2024The,
  author = {Uzorka, Afam and Kalabuki, Kagezi},
  title = {The transformative impact of technological advancements in educational leadership on student experiences and outcomes},
  journal = {Education and Information Technologies},
  year = {2024},
  doi = {10.1007/s10639-024-12714-y},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191722065&doi=10.1007%2fs10639-024-12714-y&partnerID=40&md5=f8f6e18f5e889261237d8ba1345d85a3},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {In the context of Ugandan higher education, this study investigates the revolutionary effects of technology developments in educational leadership on student experiences and outcomes. A purposive sampling strategy was used to select 161 participants from 12 universities in Uganda, focusing on those with significant influence and expertise in educational leadership. Email invitations were sent out explaining the goal and parameters of the research. Four major themes emerged from the qualitative interviews: digital learning environments, data-driven decision-making, remote and blended learning models, and collaboration and communication. The results indicate a paradigm shift toward digital platforms, more dynamic, and individualized learning experiences. Strategic use of data analytics by educational leaders informs decision-making processes, resulting in better academic outcomes and customized interventions. The adoption of flexible learning models, such as blended and remote learning, is a response to changing dynamics in education that is adaptive. A more integrated educational ecosystem is also supported by technology, which improves collaboration and communication. This study shed light on how technological innovations in educational leadership might have a revolutionary effect on students. It is clear that changes in learning environments, decision-making procedures, learning models, and communication techniques from leaders continuing to leverage technology’s potential result in a more engaging, inclusive, and productive learning environment for students. In light of the study’s findings, we recommend educational authorities keep embracing and advancing technology integration in higher education. To guarantee that educators can effectively use technology to benefit students, this entails providing them with continual professional development to improve their digital literacy. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.1191203704},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {The transformative impact of technological advancements in educational leadership on student experiences and outcomes},
  x_author = {Uzorka, Afam and Kalabuki, Kagezi},
  x_journal = {Education and Information Technologies},
  x_year = {2024},
  x_doi = {10.1007/s10639-024-12714-y},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191722065&doi=10.1007%2fs10639-024-12714-y&partnerID=40&md5=f8f6e18f5e889261237d8ba1345d85a3}
}
@inproceedings{Ou2018Research,
  author = {Ou, Xiu-ying},
  title = {Research on university education management system based on big data},
  journal = {ACM International Conference Proceeding Series},
  booktitle = {ACM International Conference Proceeding Series},
  year = {2018},
  pages = {275 – 280},
  doi = {10.1145/3305275.3305330},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061928829&doi=10.1145%2f3305275.3305330&partnerID=40&md5=e3ef33eade45debae76e8a88791fd092},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {In recent years, information technology has achieved rapid development and has been widely used in many fields. With the continuous improvement of the level of higher education and the scale of education in China, colleges and universities have paid more and more attention to the use of information technology in education management. Many universities have carried out research work on education management systems based on big data. It summarizes the related theories of big data, analyzes the importance of big data, and puts forward effective solutions according to the application status of big data in college education management system. In the overall system architecture, database security, system requirements, After detailed requirements analysis of system functions and other aspects, a system solution combining flexibility, openness and applicability was developed. For the domestic educational management systems, most of them are based on C/S or B/S single mode, they are difficult to meet the system solution requirements proposed in this paper. The system developed in this paper proposes a combination of C/S and B/S modes. Oracle and PL/SQL are used as the back-end database. The front-end development tools use Delphi2009, ASP.net, PL/SQL Developer and auxiliary software Dreamweaver5.0. © 2018 Association for Computing Machinery.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.1181018519},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Research on university education management system based on big data},
  x_author = {Ou, Xiu-ying},
  x_year = {2018},
  x_pages = {275 – 280},
  x_doi = {10.1145/3305275.3305330},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061928829&doi=10.1145%2f3305275.3305330&partnerID=40&md5=e3ef33eade45debae76e8a88791fd092}
}
@article{Clayton2019Business,
  author = {Clayton, Penny R. and Clopton, Jeremy},
  title = {Business curriculum redesign: Integrating data analytics},
  journal = {Journal of Education for Business},
  year = {2019},
  volume = {94},
  pages = {57 – 63},
  doi = {10.1080/08832323.2018.1502142},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053765058&doi=10.1080%2f08832323.2018.1502142&partnerID=40&md5=fee603e0a05d4ea49aa471f54d6ad98b},
  note = {Cited by: 38},
  source = {Scopus},
  abstract = {Data analytics is an integral part of planning and decision making in business. Priorities have shifted to hiring skilled employees to support a company’s analytics requirements. The authors discuss the background of big data and data analytics, demand for trained professionals, and information on the development of a data analytics curriculum. Curriculum design models are explored and emphasis placed on university curriculum redesign. This is a perspective piece that also addresses interdisciplinary collaboration, accreditation, and related challenges. © 2018, © 2018 Taylor & Francis Group LLC.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.1063888889},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Business curriculum redesign: Integrating data analytics},
  x_author = {Clayton, Penny R. and Clopton, Jeremy},
  x_journal = {Journal of Education for Business},
  x_year = {2019},
  x_pages = {57 – 63},
  x_volume = {94},
  x_doi = {10.1080/08832323.2018.1502142},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053765058&doi=10.1080%2f08832323.2018.1502142&partnerID=40&md5=fee603e0a05d4ea49aa471f54d6ad98b}
}
@article{Helou2023A,
  author = {Helou, Mamoun Abu},
  title = {A UNIFIED FRAMEWORK FOR BIG DATA-DRIVEN DECISION MAKING SYSTEM IN HIGHER EDUCATION INSTITUTES},
  journal = {Journal of Theoretical and Applied Information Technology},
  year = {2023},
  volume = {101},
  pages = {5089 – 5101},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164601835&partnerID=40&md5=389717eaef5dec3d956bc56a10ad0529},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Higher education institutions (HEIs) are increasingly using information and communication technologies in their daily operations, including management, financial, and didactic processes. As a result, the amount of produced data has increased dramatically in heterogeneous formats, and the lack of connectivity between the various systems has made it difficult for decision-makers to obtain integrated and relevant information that accurately reflects the institution's actual condition. Business Intelligence (BI) systems and big data technologies can take advantage of the various data sources accessible at HEIs to facilitate the processes of decision-making by enabling managers to make precise decisions that are efficient and effective with respect to time and formats. Several efforts focused on studying and enabling BI capabilities for managing sustainable information in an HEI context. Despite these attempts, integrating big data into HEIs remains an open challenge, and additional studies are required in order to determine the best techniques for employing big data analytics and enhance the results. In this research, qualitative and analytic research methodologies are used to identify and design a theoretical BI framework that incorporates best practices and takes into account big data analysis capabilities. The proposed framework combines the data analysis steps commonly used by HEIs and provides a framework made up of six components: the key stakeholders; the key business operations; the data identification; the data processing; the presentation of data; and the system's evaluation, validation, and monitoring. The framework is designed such that it can be adapted to various data sources and deploy different analytical scenarios, including descriptive and predictive analytical scenarios. The framework can be used as a guideline for current practice for implementing a BI in HEIs. Open research concerns and challenges are also identified. © 2023 Little Lion Scientific.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.0965972222},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {A UNIFIED FRAMEWORK FOR BIG DATA-DRIVEN DECISION MAKING SYSTEM IN HIGHER EDUCATION INSTITUTES},
  x_author = {Helou, Mamoun Abu},
  x_journal = {Journal of Theoretical and Applied Information Technology},
  x_year = {2023},
  x_pages = {5089 – 5101},
  x_volume = {101},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164601835&partnerID=40&md5=389717eaef5dec3d956bc56a10ad0529}
}
@article{Foerster2024Hyperedu,
  author = {Foerster, Saskia and Brosinsky, Arlena and Koch, Katrin and Eckardt, Robert},
  title = {Hyperedu online learning program for hyperspectral remote sensing: Concept, implementation and lessons learned},
  journal = {International Journal of Applied Earth Observation and Geoinformation},
  year = {2024},
  volume = {131},
  doi = {10.1016/j.jag.2024.103983},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196846072&doi=10.1016%2fj.jag.2024.103983&partnerID=40&md5=2bd6f7b3eaf52d40232d228e25c33177},
  note = {Cited by: 0; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {The increasing importance of Earth observation information for society and environment, particularly in the expanding domain of hyperspectral remote sensing, along with the significantly increasing data availability, emphasizes the demand for online education to address the growing need for expertise in this domain. We present a comprehensive review of existing online education programs on Earth observation that underline the limited availability of online resources for hyperspectral remote sensing. To respond to this demand, we introduce HYPERedu, an online education program on hyperspectral remote sensing that has been developed as part of the EnMAP satellite mission since 2019. The program's core components, content, and participation statistics, along with insights from participant feedback, are presented. HYPERedu offers a wide range of resources, including slide collections, tutorials, video screencasts, and online courses, making them accessible to a broad audience for university teaching, training schools and individual learning. The program's effectiveness as well as challenges and insights encountered during program development are discussed. We emphasize the importance of collaborative learning, sustainability efforts for long-term material accessibility and quality assurance, and the need to bridge the digital divide with offline options, open-source tools, and multilingual content. Effective content presentation is vital, focusing on consistent branding, concise modules, interactive features, and narrative-style videos. Additionally, we explore the future of online Earth observation learning, considering enhanced participant interaction and the integration of new learning concepts. Finally, we underscore the significance of outreach and training for satellite mission utilization and advocate for open education to promote open science, data, software, and accessibility for inclusive education. © 2024 The Author(s)},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.0869444445},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Hyperedu online learning program for hyperspectral remote sensing: Concept, implementation and lessons learned},
  x_author = {Foerster, Saskia and Brosinsky, Arlena and Koch, Katrin and Eckardt, Robert},
  x_journal = {International Journal of Applied Earth Observation and Geoinformation},
  x_year = {2024},
  x_volume = {131},
  x_doi = {10.1016/j.jag.2024.103983},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196846072&doi=10.1016%2fj.jag.2024.103983&partnerID=40&md5=2bd6f7b3eaf52d40232d228e25c33177}
}
@article{Ashaari2021Big,
  author = {Ashaari, Mohamed Azlan and Singh, Karpal Singh Dara and Abbasi, Ghazanfar Ali and Amran, Azlan and Liebana-Cabanillas, Francisco J.},
  title = {Big data analytics capability for improved performance of higher education institutions in the Era of IR 4.0: A multi-analytical SEM & ANN perspective.},
  journal = {Technological Forecasting and Social Change},
  year = {2021},
  volume = {173},
  doi = {10.1016/j.techfore.2021.121119},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113363219&doi=10.1016%2fj.techfore.2021.121119&partnerID=40&md5=c73e13f2d0b36b79e3e050dcb31983a1},
  note = {Cited by: 81},
  source = {Scopus},
  abstract = {Despite the growing interest towards big data within higher education institutions (HEI), research on big data analytics capability within the HEI context is somewhat limited. This study's main objective is to have a better understanding of the utilisation of big data analytics capability for data-driven decision-making to achieve better performance from Malaysian HEIs. Despite the growing interest towards big data within higher education institutions (HEI), research on big data analytics capability within the HEI context is rather limited. This study's main objective is to have a better understanding of the utilisation of big data analytics capability for data-driven decision-making to achieve better performance from Malaysian HEIs. This study validates an integrative model by combining information processing theory and resource-based view theory. Unlike extant literature, this study proposed methodology involving dual-stage analysis involving of Partial Least Squares Structural Equation Modelling and evolving Artificial Intelligence named deep learning (Artificial Neural Network) were performed. The application of deep ANN architecture can predict 83% of accuracy for the proposed model. Besides, the outcome of data-driven decision making from the relationship between big data analytic capability and data-driven decision making towards the performance of HEIs has significant findings. Results revealed that data-driven decision making could positively play an essential role in the relationship between big data analytic capability and performance of HEIs. Theoretically, the newly integrated theoretical model that incorporates information processing theory and resource-based view provides useful guidelines to HEI's about the crucial capabilities and resources that must be put into place to reap the benefits associated with big data implementations in the wake of Industry Revolution 4.0. © 2021},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45544.6284953704},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Big data analytics capability for improved performance of higher education institutions in the Era of IR 4.0: A multi-analytical SEM & ANN perspective.},
  x_author = {Ashaari, Mohamed Azlan and Singh, Karpal Singh Dara and Abbasi, Ghazanfar Ali and Amran, Azlan and Liebana-Cabanillas, Francisco J.},
  x_journal = {Technological Forecasting and Social Change},
  x_year = {2021},
  x_volume = {173},
  x_doi = {10.1016/j.techfore.2021.121119},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113363219&doi=10.1016%2fj.techfore.2021.121119&partnerID=40&md5=c73e13f2d0b36b79e3e050dcb31983a1}
}
@article{Balali2020Vector,
  author = {Balali, Vahid and Fathi, Soheil and Aliasgari, Mehrdad},
  title = {Vector maps mobile application for sustainable eco-driving transportation route selection},
  journal = {Sustainability (Switzerland)},
  year = {2020},
  volume = {12},
  doi = {10.3390/su12145584},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088628732&doi=10.3390%2fsu12145584&partnerID=40&md5=af12339e88e750539673528d30929eee},
  note = {Cited by: 3; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {The decisions managing all modes of transportation are currently based on the traffic rate and travel time. However, other factors such as Green House Gas (GHG) emissions, the sustainability index, fuel consumption, and travel costs are not considered. Therefore, more comprehensive methods need to be implemented to improve transportation systems and support users' decision making in their daily commute. This paper addresses current challenges by utilizing data analytics derived from our proposed mobile application. The proposed application quantifies various factors of each transportation mode including but not limited to the cost, trip duration, fuel consumption, and Carbon Dioxide (CO2) emissions. All calculated travel costs are based on the real-time gas prices and toll fees. The users are also able to navigate to their destination and update the total travel costs in real-time. The emissions data per trip basis are aggregated to provide analytics of emissions usage. The traffic data is collected for the Southern California region and the effectiveness of the application is evaluated by twenty participants from California State University, Long Beach. The results demonstrate the application's impacts on users' decision-making and the propriety of the factors used in route selection. The proposed application can foster urban planning and operations vis-à-vis daily commutes, and as a result improve the citizens' quality of life in various aspects. © 2020 by the authors.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.0822916667},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Vector maps mobile application for sustainable eco-driving transportation route selection},
  x_author = {Balali, Vahid and Fathi, Soheil and Aliasgari, Mehrdad},
  x_journal = {Sustainability (Switzerland)},
  x_year = {2020},
  x_volume = {12},
  x_doi = {10.3390/su12145584},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088628732&doi=10.3390%2fsu12145584&partnerID=40&md5=af12339e88e750539673528d30929eee}
}
@inproceedings{Chen2017SHM,
  author = {Chen, G.D. and Stone, W.A.},
  title = {SHM roles in autonomous inspection and preventive maintenance of bridges},
  journal = {SHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings},
  booktitle = {SHMII 2017 - 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, Proceedings},
  year = {2017},
  pages = {70 – 79},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050150081&partnerID=40&md5=e9852ff5a308ea5aa9d99b97813cf706},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Missouri University of Science and Technology (Missouri S&T) is leading a ten-partner, five-year University Transportation Center with a theme of “Inspecting and Preserving Infrastructure through Robotic Exploration (INSPIRE).” The goal of the INSPIRE Center is to transform in representative demonstration cases the current labor-intensive, inconsistent, and expensive ad hoc process of bridge inspection and maintenance into an efficient, safe, reliable, and cost-effective data-driven decision-making protocol. In this presentation, the needs for an autonomous bridge inspection and maintenance program are first established. A framework of such a program integrating sensor measurement, nondestructive evaluation (NDE), and data analytics into visual inspection through a mobile platform of robotics is then envisioned to improve the reliability of inspection data and results, streamline the inspection and maintenance process, and augment the inspection of fracture critical members. Next, key to the success of the program, structural health monitoring (SHM) technologies such as lab-on-sensor innovation for the understanding of structural behaviors, microwave imaging for the internal condition monitoring of bridge structures, and adaptive wavelet transform for the extraction of damage and deterioration from images are introduced. Finally, industry-university collaborations, which is critical to realizing the envisioned integrating framework, are dicussed and the potential SHM impacts to bridge preservation are identified. In general, a global lab-on-sensor system is key to quantifying structural behaviors and, together with local NDEs, enables both qualitative and quantitative assessments of the condition of bridge systems or even transportation networks. The bridge condition identified during inspection can be used to prioritize the maintenance of bridges. An unmanned aerial vehicle with one or two remotely-controlled arms can potentially make bridge inspection and maintenance an integrated task. The autonomous inspection and maintenance program likely results in cheaper, faster, and more reliable solutions in bridge preservation. © 2017 International Society for Structural Health Monitoring of Intelligent Infrastrucure. All rights reserved.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.0877893519},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {SHM roles in autonomous inspection and preventive maintenance of bridges},
  x_author = {Chen, G.D. and Stone, W.A.},
  x_year = {2017},
  x_pages = {70 – 79},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050150081&partnerID=40&md5=e9852ff5a308ea5aa9d99b97813cf706}
}
@inproceedings{Yehia2023Board,
  author = {Yehia, Alaa and Yehia, Ayatollah S. and Yehia, Sherif},
  title = {Board 43: Work in Progress: Low Enrollment in Civil Engineering Departments: Challenges and Opportunities},
  journal = {ASEE Annual Conference and Exposition, Conference Proceedings},
  booktitle = {ASEE Annual Conference and Exposition, Conference Proceedings},
  year = {2023},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172164039&partnerID=40&md5=f39f28da1d8b9d707f02b5d87786e4be},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {There is a recurring issue of low enrollments across many civil engineering departments in postsecondary institutions. While there have been moments where enrollments begin to increase, civil engineering departments find themselves facing low enrollments that have decreased by 60% over the last five years across the Middle East and the United States. There are many reasons that could be attributed to this decline, such as low entry-level salaries, over-saturation of civil engineering graduates in the job market in certain regions, and a lack of construction projects due to the impending or current recession. Low enrollment also has an effect on the availability of civil engineers, especially in times of high demand, such as the passing of the recent US legislature on rebuilding infrastructure. However, this recurring problem alludes to an intrinsic issue of the curriculum, as researchers have discovered. The societal shift to the usage of high technology such as machine learning (ML) and artificial intelligence (AI), demands individuals who are proficient at utilizing it. However, in many existing civil engineering curricula, students are not taught programming skills that would aid in using high technology and if introduced at an early level, these skills are not utilized in other courses across the curriculum. This paper aims to conduct a survey on the civil engineering curricula of the top 220 universities in the world, focusing on those in the United States based on the QS World Ranking system. Initial analysis of the survey results indicates that the majority of universities have not considered new methods of data analytics such as ML or AI in their civil engineering coursework. Based on the results of the survey, the authors will provide suggestions on how to adapt high technology concepts to civil engineering coursework, while abiding by ABET/ASCE accreditation requirements. The findings of this paper will indicate where postsecondary universities offering civil engineering can easily adapt their curricula to address the current low enrollment crisis, which in turn, supports future civil engineers for the world of high technology. © American Society for Engineering Education, 2023.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.0871296296},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Board 43: Work in Progress: Low Enrollment in Civil Engineering Departments: Challenges and Opportunities},
  x_author = {Yehia, Alaa and Yehia, Ayatollah S. and Yehia, Sherif},
  x_year = {2023},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172164039&partnerID=40&md5=f39f28da1d8b9d707f02b5d87786e4be}
}
@incollection{Sippola2015History,
  author = {Sippola, Erkki and Saukko, Pekka},
  title = {History and Current Status of Forensic Science and Medicine in Finland},
  journal = {The Global Practice of Forensic Science},
  booktitle = {The Global Practice of Forensic Science},
  year = {2015},
  pages = {95 – 103},
  doi = {10.1002/9781118724248.ch10},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927675778&doi=10.1002%2f9781118724248.ch10&partnerID=40&md5=afeaba77396167993f22e70656560da4},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {Forensic science in Finland started from a modest one-man laboratory with a light microscope in association with the Helsinki police department in 1908. By 1955, it had developed into a national agency, the National Bureau of Investigation (NBI), as an integral part of the national police organization. Presently, the NBI Forensic Laboratory, funded by the Police within the state budget, provides expert services free of charge to the authorities in over 20 forensic disciplines in modern, accredited laboratories. The first regulations concerning medicolegal investigation of deaths were introduced during the Swedish reign in the 18th century. Forensic medicine as a medical specialty has existed since 1955, and the specific training in forensic pathology is provided by the University Departments of Forensic Medicine. Since 2010, the National Institute of Health and Welfare (THL) is the competent authority in charge of organizing the medicolegal services in Finland. The Ministry of Social Affairs and Health has the main supervisory role and provides funding for medicolegal services from the state budget. © 2015 John Wiley & Sons Ltd.},
  document_type = {Book chapter},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.0863657407},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {History and Current Status of Forensic Science and Medicine in Finland},
  x_author = {Sippola, Erkki and Saukko, Pekka},
  x_year = {2015},
  x_pages = {95 – 103},
  x_doi = {10.1002/9781118724248.ch10},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927675778&doi=10.1002%2f9781118724248.ch10&partnerID=40&md5=afeaba77396167993f22e70656560da4}
}
@inproceedings{Mishra2019Usage,
  author = {Mishra, Rajneesh},
  title = {Usage of Data Analytics and Artificial Intelligence in Ensuring Quality Assurance at Higher Education Institutions},
  journal = {Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019},
  booktitle = {Proceedings - 2019 Amity International Conference on Artificial Intelligence, AICAI 2019},
  year = {2019},
  pages = {1022 – 1025},
  doi = {10.1109/AICAI.2019.8701392},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065613809&doi=10.1109%2fAICAI.2019.8701392&partnerID=40&md5=6621dbf5e3383efe540fe29c8ae21c40},
  note = {Cited by: 12; All Open Access, Bronze Open Access},
  source = {Scopus},
  abstract = {This research paper discusses about the usage of data analytics and artificial intelligence in ensuring quality assurance at higher education institutions (HEI's). In increasingly competitive environment in higher education especially among private higher education institutions, quality assurance has become the differentiating factor. Students and their parents are concerned about both internal and external quality of the college/ university which they consider for enrolling. Increasing number of students enrolling for higher education, international presence of universities through branch campus and franchising model of operations, increased awareness about international accreditations and rankings has been the driving forces behind the transformation of quality assurance systems and procedures in the higher education institutions. Information systems is the key component of quality assurance which lead to higher student satisfaction and further business growth for higher education institution. Using artificial intelligence and data analytics, HEI's can ensure compliance, internal quality of the educational programmes, increase in students' satisfaction etc. © 2019 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.1201388889},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Usage of Data Analytics and Artificial Intelligence in Ensuring Quality Assurance at Higher Education Institutions},
  x_author = {Mishra, Rajneesh},
  x_year = {2019},
  x_pages = {1022 – 1025},
  x_doi = {10.1109/AICAI.2019.8701392},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065613809&doi=10.1109%2fAICAI.2019.8701392&partnerID=40&md5=6621dbf5e3383efe540fe29c8ae21c40}
}
@article{Wong-Fajardo2023Implementation,
  author = {Wong-Fajardo, Emma Margarita and Mendoza-Rodas, Mery and Hernández-Vásquez, Ronald and Saavedra-Sánchez, Hugo},
  title = {Implementation of an Integrated Academic Management Model with LMS in the University System; [在大学系统中实施与LMS的学术管理一体化模式]; [Внедрение интегрированной модели академического менеджмента с LMS в университетской системе]; [Implementación de un modelo integrado de gestión académica con LMS en el sistema universitario]},
  journal = {Publicaciones de la Facultad de Educacion y Humanidades del Campus de Melilla},
  year = {2023},
  volume = {53},
  pages = {237 – 254},
  doi = {10.30827/publicaciones.v53i2.26826},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150308080&doi=10.30827%2fpublicaciones.v53i2.26826&partnerID=40&md5=65cf5761259ca934a0c6c2b589c84354},
  note = {Cited by: 0; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {The quality of a country’s higher education is a fundamental cornerstone for its development; this involves restructuring and self-evaluating study programs, as well as systematizing academic processes. The Universidad Católica Santo Toribio de Mogrovejo, in response to these challenges and to national quality regulations, the Sistema Nacional de Evaluación, Acreditación y Certificación de Calidad Educativa (National System of Evaluation, Accreditation and Certification of Educational Quality - SINEACE) and the Superintendencia Nacional de Educación Superior Universitaria (National Superintendency of Higher University Education - SUNEDU), made improvements in academic processes using information technology. This research shows the results of the experience of implementing an integrated academic management model using Learning Management Systems (LMS) in a university context and explains the various phases that made up this proposal. The study is applied technological research with a quantitative approach, the sample was a census, complemented by the focus group technique and the application of semi-structured interviews. The most important results indicate that: The implementation of the integrated model of the technological platforms within the Virtual Campus (Teaching-Learning System, Academic Management System and Curriculum Management System) and integration of the LMS allow evidencing the levels of achievement of the competencies of the graduate profile and the deployment of the integrated academic management system with LMS and provides significant support to the activities of the teaching-learning process at the Universidad Católica Santo Toribio de Mogrovejo (USAT). © 2022 University of Granada. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45544.6325925926},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Implementation of an Integrated Academic Management Model with LMS in the University System; [在大学系统中实施与LMS的学术管理一体化模式]; [Внедрение интегрированной модели академического менеджмента с LMS в университетской системе]; [Implementación de un modelo integrado de gestión académica con LMS en el sistema universitario]},
  x_author = {Wong-Fajardo, Emma Margarita and Mendoza-Rodas, Mery and Hernández-Vásquez, Ronald and Saavedra-Sánchez, Hugo},
  x_journal = {Publicaciones de la Facultad de Educacion y Humanidades del Campus de Melilla},
  x_year = {2023},
  x_pages = {237 – 254},
  x_volume = {53},
  x_doi = {10.30827/publicaciones.v53i2.26826},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150308080&doi=10.30827%2fpublicaciones.v53i2.26826&partnerID=40&md5=65cf5761259ca934a0c6c2b589c84354}
}
@article{Arboleda2017Ensuring,
  author = {Arboleda, Valerie A. and Garner, Omai B.},
  title = {Ensuring the quality of point-of-care testing in a large and decentralized ambulatory care setting},
  journal = {American Journal of Clinical Pathology},
  year = {2017},
  volume = {148},
  pages = {336 – 344},
  doi = {10.1093/AJCP/AQX081},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031790282&doi=10.1093%2fAJCP%2fAQX081&partnerID=40&md5=7710e86c61b0de903950820b36be266c},
  note = {Cited by: 10; All Open Access, Bronze Open Access},
  source = {Scopus},
  abstract = {Objectives: In this project, we assessed the breadth, quality, trends, and outcomes of point-of-care (POC) testing and regulatory compliance in 200 University of California, Los Angeles (UCLA) Health system outpatient clinics. Methods: We retrospectively extracted clinic POC test orders, results, and e-prescription data from the UCLA electronic health record over a 1-year period. Results: Over 100,000 total tests were performed, encompassing 10 POC tests. Initially, 40% of clinics did not have complete licensure, but after implementation of the POC team, this metric improved to 100% licensure within 6 months. Most clinics used two or fewer POC tests, resulted fewer than 200 tests per year, and performed little to no external quality control measures. Our data analytics approach showed that peak POC testing occurred in January 2015, driven by influenza and urinalysis testing, and that both the testing and resulting clinical decision making do not routinely follow society guidelines. Conclusions: This decentralization of laboratory testing presents challenges to ensuring quality POC testing. Optimization and analysis of informatics data allow for the identification of POC test utilization trends, areas of improvement for clinical workflows, and increased education on national guidelines. © American Society for Clinical Pathology, 2017.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.0764930556},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Ensuring the quality of point-of-care testing in a large and decentralized ambulatory care setting},
  x_author = {Arboleda, Valerie A. and Garner, Omai B.},
  x_journal = {American Journal of Clinical Pathology},
  x_year = {2017},
  x_pages = {336 – 344},
  x_volume = {148},
  x_doi = {10.1093/AJCP/AQX081},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85031790282&doi=10.1093%2fAJCP%2fAQX081&partnerID=40&md5=7710e86c61b0de903950820b36be266c}
}
@article{Carver2019Medical,
  author = {Carver, Diana E. and Willis, Charles E. and Stauduhar, Paul J. and Nishino, Thomas K. and Wells, Jered R. and Samei, Ehsan},
  title = {Medical physics 3.0 versus 1.0: A case study in digital radiography quality control},
  journal = {Journal of Applied Clinical Medical Physics},
  year = {2019},
  volume = {19},
  pages = {694 – 707},
  doi = {10.1002/acm2.12425},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052845705&doi=10.1002%2facm2.12425&partnerID=40&md5=27a6aa673322b6d3f693015a3cd42a0d},
  note = {Cited by: 1; All Open Access, Gold Open Access, Green Open Access},
  source = {Scopus},
  abstract = {Purpose: The study illustrates how a renewed approach to medical physics, Medical Physics 3.0 (MP3.0), can identify performance decrement of digital radiography (DR) systems when conventional Medical Physics 1.0 (MP1.0) methods fail. Methods: MP1.0 tests included traditional annual tests plus the manufacturer's automated Quality Assurance Procedures (QAP) of a DR system before and after a radiologist's image quality (IQ) complaint repeated after service intervention. Further analysis was conducted using nontraditional MP3.0 tests including longitudinal review of QAP results from a 15-yr database, exposure-dependent signal-to-noise (SNR2), clinical IQ, and correlation with the institutional service database. Clinical images were analyzed in terms of IQ metrics by the Duke University Clinical Imaging Physics Group using previously validated software. Results: Traditional metrics did not indicate discrepant system performance at any time. QAP reported a decrease in contrast-to-noise ratio (CNR) after detector replacement, but remained above the manufacturer's action limit. Clinical images showed increased lung noise (Ln), mediastinum noise (Mn), and subdiaphragm-lung contrast (SLc), and decreased lung gray level (Lgl) following detector replacement. After detector recalibration, QAP CNR improved, but did not return to previous levels. Lgl and SLc no longer significantly differed from before detector recalibration; however, Ln and Mn remained significantly different. Exposure-dependent SNR2 documented the detector operating within acceptable limits 9 yr previously but subsequently becoming miscalibrated sometime before four prior annual tests. Service records revealed catastrophic failure of the computer containing the original detector calibration from 11 yr prior. It is likely that the incorrect calibration backup file was uploaded at that time. Conclusions: MP1.0 tests failed to detect substandard system performance, but MP3.0 methods determined the root cause of the problem. MP3.0 exploits the wealth of data with more sensitive performance indicators. Data analytics are powerful tools whose proper application could facilitate early intervention in degraded system performance. © 2018 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45544.9882175926},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Medical physics 3.0 versus 1.0: A case study in digital radiography quality control},
  x_author = {Carver, Diana E. and Willis, Charles E. and Stauduhar, Paul J. and Nishino, Thomas K. and Wells, Jered R. and Samei, Ehsan},
  x_journal = {Journal of Applied Clinical Medical Physics},
  x_year = {2019},
  x_pages = {694 – 707},
  x_volume = {19},
  x_doi = {10.1002/acm2.12425},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052845705&doi=10.1002%2facm2.12425&partnerID=40&md5=27a6aa673322b6d3f693015a3cd42a0d}
}
@article{Aldowah2019Educational,
  author = {Aldowah, Hanan and Al-Samarraie, Hosam and Fauzy, Wan Mohamad},
  title = {Educational data mining and learning analytics for 21st century higher education: A review and synthesis},
  journal = {Telematics and Informatics},
  year = {2019},
  volume = {37},
  pages = {13 – 49},
  doi = {10.1016/j.tele.2019.01.007},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060644641&doi=10.1016%2fj.tele.2019.01.007&partnerID=40&md5=c6e35b6b14e3ebf5e67b6f7195774ef4},
  note = {Cited by: 334},
  source = {Scopus},
  abstract = {The potential influence of data mining analytics on the students’ learning processes and outcomes has been realized in higher education. Hence, a comprehensive review of educational data mining (EDM) and learning analytics (LA) in higher education was conducted. This review covered the most relevant studies related to four main dimensions: computer-supported learning analytics (CSLA), computer-supported predictive analytics (CSPA), computer-supported behavioral analytics (CSBA), and computer-supported visualization analytics (CSVA) from 2000 till 2017. The relevant EDM and LA techniques were identified and compared across these dimensions. Based on the results of 402 studies, it was found that specific EDM and LA techniques could offer the best means of solving certain learning problems. Applying EDM and LA in higher education can be useful in developing a student-focused strategy and providing the required tools that institutions will be able to use for the purposes of continuous improvement. © 2019 Elsevier Ltd},
  document_type = {Review},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45544.6341435185},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Educational data mining and learning analytics for 21st century higher education: A review and synthesis},
  x_author = {Aldowah, Hanan and Al-Samarraie, Hosam and Fauzy, Wan Mohamad},
  x_journal = {Telematics and Informatics},
  x_year = {2019},
  x_pages = {13 – 49},
  x_volume = {37},
  x_doi = {10.1016/j.tele.2019.01.007},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060644641&doi=10.1016%2fj.tele.2019.01.007&partnerID=40&md5=c6e35b6b14e3ebf5e67b6f7195774ef4}
}
@article{Ng2023Teaching,
  author = {Ng, Cory},
  title = {Teaching advanced data analytics, robotic process automation, and artificial intelligence in a graduate accounting program},
  journal = {Journal of Emerging Technologies in Accounting},
  year = {2023},
  volume = {20},
  pages = {223 – 243},
  doi = {10.2308/JETA-2022-025},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160663873&doi=10.2308%2fJETA-2022-025&partnerID=40&md5=e882a24f731bcc2e58c5cb816efa175b},
  note = {Cited by: 6},
  source = {Scopus},
  abstract = {Technological advances in data analytics, robotic process automation (RPA), and artificial intelligence (AI) are transforming businesses and redefining what skill sets are needed in the accounting profession. To prepare students, academic accounting departments must develop strategies to integrate data analytics and emerging technologies into the curriculum. This paper discusses the design process used in a graduate-level advanced data analytics course that incorporates RPA and AI at a public university in the northeastern region of the United States. The paper concludes with a statistical analysis of precourse/postcourse student reflections and feedback surveys as part of a quality assurance initiative. The results suggest strong evidence of student learning related to the course learning objectives. © 2023, American Accounting Association. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.118587963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Teaching advanced data analytics, robotic process automation, and artificial intelligence in a graduate accounting program},
  x_author = {Ng, Cory},
  x_journal = {Journal of Emerging Technologies in Accounting},
  x_year = {2023},
  x_pages = {223 – 243},
  x_volume = {20},
  x_doi = {10.2308/JETA-2022-025},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160663873&doi=10.2308%2fJETA-2022-025&partnerID=40&md5=e882a24f731bcc2e58c5cb816efa175b}
}
@article{Sarkar2021Pedagogical,
  author = {Sarkar, Sumantra and Boss, Scott R. and Gray, Joy},
  title = {Pedagogical Practices of Accounting Departments Addressing AACSB Technology Requirements},
  journal = {Issues in Accounting Education},
  year = {2021},
  volume = {36},
  pages = {59 – 85},
  doi = {10.2308/ISSUES-19-082},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126302323&doi=10.2308%2fISSUES-19-082&partnerID=40&md5=6ea8d721ff5e573fa83bc5e48890dbf0},
  note = {Cited by: 8},
  source = {Scopus},
  abstract = {Technology skills are essential for accounting professionals and should be equally important in accounting curricula. Institutions measure technology-related curricular innovations in part through compliance with AACSB Standard A5. We investigate efforts to meet the requirements of Standard A5 by surveying AIS educators from 85 universities to examine efforts to prepare for accreditation review related to technology in accounting curricula. Quantitative results suggest that most institutions feel prepared but also provide some contradictory information that, when combined with qualitative feedback, raises questions about the degree of progress in technology integration. Common issues include widespread lack of increased faculty training, over-reliance on AIS classes to meet accreditation standards, and inclusion of basic spreadsheet and visualization skills as ‘‘technology’’ or ‘‘data analytics.’’ We suggest a pathway to improve accounting pedagogy as it relates to technology through phased curricular changes and issue a call for administrators to support increased accounting faculty technology training. © 2021, American Accounting Association. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.1172106481},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Pedagogical Practices of Accounting Departments Addressing AACSB Technology Requirements},
  x_author = {Sarkar, Sumantra and Boss, Scott R. and Gray, Joy},
  x_journal = {Issues in Accounting Education},
  x_year = {2021},
  x_pages = {59 – 85},
  x_volume = {36},
  x_doi = {10.2308/ISSUES-19-082},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126302323&doi=10.2308%2fISSUES-19-082&partnerID=40&md5=6ea8d721ff5e573fa83bc5e48890dbf0}
}
@article{Starobin2014Educational,
  author = {Starobin, Soko S. and Upah, Sylvester},
  title = {Educational data crossroads: Data literacy for data-driven decision making in postsecondary education},
  journal = {Advances in Education in Diverse Communities: Research, Policy and Praxis},
  year = {2014},
  volume = {10},
  pages = {141 – 170},
  doi = {10.1108/S1479-358X20130000010007},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84915797068&doi=10.1108%2fS1479-358X20130000010007&partnerID=40&md5=3640597f90bcbba610788a7da02007fc},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {Purpose-This paper discusses how educational policies have shaped the development of large-scale educational data and reviews current practices on the educational data use in selected states. Our purposes are to: (1) analyze the common practice and use of educational data in postsecondary education institutions and identify challenges as the educational crossroads; (2) propose the concept of Data Literacy (DL) for teaching (Mandinach &Gummer, 2013a) and its relevance to researchers and stakeholders in postsecondary education; and (3) provide future implications for practices and research to increase educational DL among administrators, practitioners, and faculty in postsecondary education.; Design/methodology/approach-We used two guiding conceptual frameworks to analyze the common practice and use of educational data in postsecondary education institutions and identify challenges as the educational crossroads. First, we used the 4Vs of Big Data by Rajan (2012) to examine the misalignment between the policy mandate and the practices. The elements of the 4Vs of Big Data-volume, velocity, variety, and veracity-help us to depict how Big Data enables educators to organize, store, manage, and manipulate vast amounts of educational data at the right moment and at the right time. Second, we used the conceptual framework for DL proposed by Gummer and Mandinach (in press). They interpret DL \"as the collection, examination, analysis, and interpretation of data to inform some sort of decision in an educational setting\" (p. 1, in press).; Findings-Using the guiding frameworks, we identified four educational data crossroads as follows: Crossroad 1: Unintended Increase in Workload Volume; Crossroad 2: Unrealistic Expectations of Data Velocity; Crossroad 3: Data Variety in Silos; and Crossroad 4: Data Veracity and Policy Agenda Mismatch. In this paper, we explain each of these crossroads in more detail with some examples. Originality/value of the paper-Much of the existing body of literature, exemplary practices, as well as federal and state funding has been focused on K-12 education contexts. In this paper, we identify current practices and challenges of educational data in the institutions of higher education. Additionally, this paper presents the application of the exemplary practices of data literacy development in postsecondary education and implications for future practices of data literacy development in postsecondary education. © 2014 by Emerald Group Publishing Limited All rights of reproduction in any form reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.1099074074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Educational data crossroads: Data literacy for data-driven decision making in postsecondary education},
  x_author = {Starobin, Soko S. and Upah, Sylvester},
  x_journal = {Advances in Education in Diverse Communities: Research, Policy and Praxis},
  x_year = {2014},
  x_pages = {141 – 170},
  x_volume = {10},
  x_doi = {10.1108/S1479-358X20130000010007},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84915797068&doi=10.1108%2fS1479-358X20130000010007&partnerID=40&md5=3640597f90bcbba610788a7da02007fc}
}
@article{Waheed2018A,
  author = {Waheed, Hajra and Hassan, Saeed-Ul and Aljohani, Naif Radi and Wasif, Muhammad},
  title = {A bibliometric perspective of learning analytics research landscape},
  journal = {Behaviour and Information Technology},
  year = {2018},
  volume = {37},
  pages = {941 – 957},
  doi = {10.1080/0144929X.2018.1467967},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046447664&doi=10.1080%2f0144929X.2018.1467967&partnerID=40&md5=6432236fd01694f138fe53c07f0337cf},
  note = {Cited by: 69},
  source = {Scopus},
  abstract = {Learning analytics is an emerging field of research, motivated by the wide spectrum of the available educational information that can be analysed to provide a data-driven decision about various learning problems. This study intends to examine the research landscape of learning analytics to deliver a comprehensive understanding of the research activities in this multidisciplinary field, using scientific literature from the Scopus database. An array of state-of-the-art bibliometric indices is deployed on 2811 procured publication datasets: publication counts, citation counts, co-authorship patterns, citation networks and term co-occurrence. The results indicate that the field of learning analytics appears to have been instantiated around 2011; thus, before this time period no significant research activity can be observed. The temporal evolution indicates that the terms ‘students’, ‘teachers’, ‘higher education institutions’ and ‘learning process’ appear to be the major components of the field. More recent trends in the field are the tools that tap into Big Data analytics and data mining techniques for more rational data-driven decision-making services. A future direction research depicts a need to integrate learning analytics research with multidisciplinary smart education and smart library services. The vision towards smart city research requires a meta-level of smart learning analytics value integration and policy-making. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.0973032407},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {A bibliometric perspective of learning analytics research landscape},
  x_author = {Waheed, Hajra and Hassan, Saeed-Ul and Aljohani, Naif Radi and Wasif, Muhammad},
  x_journal = {Behaviour and Information Technology},
  x_year = {2018},
  x_pages = {941 – 957},
  x_volume = {37},
  x_doi = {10.1080/0144929X.2018.1467967},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046447664&doi=10.1080%2f0144929X.2018.1467967&partnerID=40&md5=6432236fd01694f138fe53c07f0337cf}
}
@article{Willis2018Automated,
  author = {Willis, Charles E. and Nishino, Thomas K. and Wells, Jered R. and Asher Ai, H. and Wilson, Joshua M. and Samei, Ehsan},
  title = {Automated quality control assessment of clinical chest images},
  journal = {Medical Physics},
  year = {2018},
  volume = {45},
  pages = {4377 – 4391},
  doi = {10.1002/mp.13107},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052948807&doi=10.1002%2fmp.13107&partnerID=40&md5=5b983a9a74afb4136821cd9f349b887f},
  note = {Cited by: 8},
  source = {Scopus},
  abstract = {Purpose: The purpose of this study was to determine whether a proposed suite of objective image quality metrics for digital chest radiographs is useful for monitoring image quality in a clinical setting unique from the one where the metrics were developed. Methods: Seventeen gridless AP chest radiographs from a GE Optima portable digital radiography (DR) unit (“sub-standard” images; Group 2) and 17 digital PA chest radiographs (“standard-of-care” images; Group 1) and 15 gridless (non-routine) PA chest radiographs (images with a gross technical error; Group 3) from a Discovery DR unit were chosen for analysis. Group 2 images were acquired with a lower kVp (100 vs 125) and shorter source-to-image distance (127 cm vs 183 cm) and were expected to have lower quality than Group 1 images. Group 3 images were expected to have degraded contrast vs Group 1 images. Images were anonymized and securely transferred to the Duke University Clinical Imaging Physics Group for analysis using software described and validated previously. Individual image quality was reported in terms of lung gray level, lung detail, lung noise, rib-lung contrast, rib sharpness, mediastinum detail, mediastinum noise, mediastinum alignment, subdiaphragm-lung contrast, and subdiaphragm area. Metrics were compared across groups. To improve precision of means and confidence intervals for routine exams, an additional 66 PA images were acquired, processed, and pooled with Group 1. Three observer studies were conducted to assess whether humans were able to identify images classified by the algorithm as abnormal. Results: Metrics agreed with published Quality Consistency Ranges with three exceptions: higher lung gray level, lower rib-lung contrast, and lower subdiaphragm-lung contrast. Higher (stored) bit depth (14 vs 12) accounted for higher lung gray level values in our images. Values were most internally consistent for Group 1. The most sensitive metric for distinguishing between groups was mediastinum noise, followed closely by lung noise. The least sensitive metrics were mediastinum detail and rib-lung contrast. The algorithm was more sensitive than human observers at detecting suboptimal diagnostic quality images. Conclusions: The software appears promising for objectively and automatically identifying suboptimal images in a clinical imaging operation. The results can be used to establish local quality consistency ranges and action limits per facility preferences. © 2018 American Association of Physicists in Medicine},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.082337963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Automated quality control assessment of clinical chest images},
  x_author = {Willis, Charles E. and Nishino, Thomas K. and Wells, Jered R. and Asher Ai, H. and Wilson, Joshua M. and Samei, Ehsan},
  x_journal = {Medical Physics},
  x_year = {2018},
  x_pages = {4377 – 4391},
  x_volume = {45},
  x_doi = {10.1002/mp.13107},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85052948807&doi=10.1002%2fmp.13107&partnerID=40&md5=5b983a9a74afb4136821cd9f349b887f}
}
@inproceedings{Vierhauser2024Learning,
  author = {Vierhauser, Michael and Groher, Iris and Sauerwein, Clemens and Antensteiner, Tobias and Hatmanstorfer, Sebastian},
  title = {Learning Analytics Support in Higher-Education: Towards a Multi-Level Shared Learning Analytics Framework},
  journal = {International Conference on Computer Supported Education, CSEDU - Proceedings},
  booktitle = {International Conference on Computer Supported Education, CSEDU - Proceedings},
  year = {2024},
  volume = {1},
  pages = {635 – 644},
  doi = {10.5220/0012744400003693},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193973949&doi=10.5220%2f0012744400003693&partnerID=40&md5=d2193e838cff0107bfe01dfa7b62be3c},
  note = {Cited by: 0; All Open Access, Hybrid Gold Open Access},
  source = {Scopus},
  abstract = {Assurance of Learning and Competency-Based Education are increasingly important in higher education, not only for accreditation or transfer of credit points. Learning Analytics is crucial for making educational goals measurable and actionable, which is beneficial for program managers, course instructors, and students. While universities typically have an established tool landscape where relevant data is managed, information is typically scattered across various systems with different responsibilities and often only limited capabilities for sharing data. This diversity, however, significantly hampers the ability to analyze data, both on the course and curriculum level. To address these shortcomings and to provide program managers, course instructions, and students with valuable insights, we devised an initial concept for a Multi-Level Shared Learning Analytics Framework to provide consistent definition and measurement of learning objectives, as well as tailored information, visualization, and analysis for different stakeholders. In this paper, we present the results of initial interviews with stakeholders, devising core features. In addition, we assess potential risks and concerns that may arise from the implementation of such a framework and data analytics system. As a result, we identified six essential features and six main risks to guide further requirements elicitation and development of our proposed framework. Copyright © 2024 by SCITEPRESS – Science and Technology Publications, Lda.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.1166087963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Learning Analytics Support in Higher-Education: Towards a Multi-Level Shared Learning Analytics Framework},
  x_author = {Vierhauser, Michael and Groher, Iris and Sauerwein, Clemens and Antensteiner, Tobias and Hatmanstorfer, Sebastian},
  x_year = {2024},
  x_pages = {635 – 644},
  x_doi = {10.5220/0012744400003693},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193973949&doi=10.5220%2f0012744400003693&partnerID=40&md5=d2193e838cff0107bfe01dfa7b62be3c}
}
@inproceedings{Boughouas2023An,
  author = {Boughouas, Mohamed Lamine and Kissoum, Yacine and Mazouzi, Smaine},
  title = {An Educational Supply Chain Management Model as Basis for a Big Data-Driven Decision Support Framework for the University},
  journal = {2023 3rd International Conference on Theoretical and Applicative Aspects of Computer Science, ICTAACS 2023},
  booktitle = {2023 3rd International Conference on Theoretical and Applicative Aspects of Computer Science, ICTAACS 2023},
  year = {2023},
  doi = {10.1109/ICTAACS60400.2023.10449507},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187551943&doi=10.1109%2fICTAACS60400.2023.10449507&partnerID=40&md5=34dd0d581f5b8b0c1cf724c0d2d0ccdf},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {The development of supply chain management (SCM) technics in the manufacturing and service industries has led to a well-developed and highly defined supply chain process. The application of SCM best practices to higher education is strongly encouraged and beneficial for high-quality graduates and better research outcomes for society. This paper provides an educational supply chain management (ESCM) model for higher education institutions. Through our study, we noted the importance of decision-making at all levels of the educational supply chain (ESC). To support decision-makers in the ESC, we explored the potential of involving big data analytics (BDA) in the decision-making process. Inspired by the manufacturing sector's experience in applying big data for decision-making, we present a conceptual framework for a BDA-based decision support solution's proper implementation in universities. A data analysis case study is presented to demonstrate the data processing potential in the university. © 2023 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.1041319444},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {An Educational Supply Chain Management Model as Basis for a Big Data-Driven Decision Support Framework for the University},
  x_author = {Boughouas, Mohamed Lamine and Kissoum, Yacine and Mazouzi, Smaine},
  x_year = {2023},
  x_doi = {10.1109/ICTAACS60400.2023.10449507},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187551943&doi=10.1109%2fICTAACS60400.2023.10449507&partnerID=40&md5=34dd0d581f5b8b0c1cf724c0d2d0ccdf}
}
@article{Yang2019A,
  author = {Yang, Jingmin and Lee, Trong-Yen and Chen, Baoxing and Zhang, Wenjie},
  title = {A comprehensive teaching reform model for a computer networks course based on integrated information systems},
  journal = {International Journal of Emerging Technologies in Learning},
  year = {2019},
  volume = {14},
  pages = {76 – 91},
  doi = {10.3991/ijet.v14i18.11040},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087866119&doi=10.3991%2fijet.v14i18.11040&partnerID=40&md5=b62a52077a9f6ccd7a0a72e9f0888563},
  note = {Cited by: 9; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {In integrating and realigning the applied skills training at Minnan Normal University (MNNU), we analyzed the current situation and problems in the teaching of the Computer Networks course based on national standards on teaching quality and the Engineering Education Accreditation standards of China. Guided by a self-developed educational management system, teaching experimentation platform and questionnaire survey system, based in a cloud computing platform, we adopted a problem-oriented research method to explore comprehensive teaching reform from four perspectives: teaching methods, teacher development, resource guarantees and continual improvement. The teaching reform cases show that the students' ability to solve problems was significantly improved, and the goal of cultivating student knowledge, ability and quality has been achieved. © 2019.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45544.6309490741},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {A comprehensive teaching reform model for a computer networks course based on integrated information systems},
  x_author = {Yang, Jingmin and Lee, Trong-Yen and Chen, Baoxing and Zhang, Wenjie},
  x_journal = {International Journal of Emerging Technologies in Learning},
  x_year = {2019},
  x_pages = {76 – 91},
  x_volume = {14},
  x_doi = {10.3991/ijet.v14i18.11040},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087866119&doi=10.3991%2fijet.v14i18.11040&partnerID=40&md5=b62a52077a9f6ccd7a0a72e9f0888563}
}
@article{Dzuranin2019Infusing,
  author = {Dzuranin, Ann C. and Jones, Janet R. and Olvera, Renee M.},
  title = {Infusing data analytics into the accounting curriculum: A framework and insights from faculty},
  journal = {Journal of Accounting Education},
  year = {2019},
  volume = {43},
  pages = {24 – 39},
  doi = {10.1016/j.jaccedu.2018.03.004},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045578419&doi=10.1016%2fj.jaccedu.2018.03.004&partnerID=40&md5=193e87da02b558003f471d548f809143},
  note = {Cited by: 91},
  source = {Scopus},
  abstract = {Understanding how to use data to formulate and solve business problems provides an opportunity for the accounting professional to become a forward thinking strategic partner in the organization. The challenge for accountants is to develop the skills needed to extract value from data through advanced analytics. The challenge for accounting academic departments is determining the data analytic skills and tools that are relevant to the accounting profession and how and when to incorporate those topics into an already full curriculum. This is especially true for accounting programs that have separate AACSB accreditation, given that Accreditation Standard A7 requires universities with separate accounting accreditation to include content and learning objectives associated with data analytics and information technology skills. To address the challenges, we propose three data analytic implementation methods: a focused approach, integrated approach, and a hybrid approach. We present the results of a broad exploratory survey of accounting faculty regarding which data analytic skills and tools should be taught and how, when and where these topics should be provided to accounting students. We find support for a hybrid approach; whereby accounting programs include both a stand-alone course emphasizing data analytic competencies and accounting courses with data analytic competencies ingrained. We conclude with a discussion of the support for and limitations of each of our proposed implementation methods. © 2018 Elsevier Ltd},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45544.9885648148},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Infusing data analytics into the accounting curriculum: A framework and insights from faculty},
  x_author = {Dzuranin, Ann C. and Jones, Janet R. and Olvera, Renee M.},
  x_journal = {Journal of Accounting Education},
  x_year = {2019},
  x_pages = {24 – 39},
  x_volume = {43},
  x_doi = {10.1016/j.jaccedu.2018.03.004},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045578419&doi=10.1016%2fj.jaccedu.2018.03.004&partnerID=40&md5=193e87da02b558003f471d548f809143}
}
@inproceedings{Gaftandzhieva2022Data,
  author = {Gaftandzhieva, Silvia and Doneva, Rositsa and Bliznakov, Milen},
  title = {Data Analytics to Stimulate Career Paths in Academy},
  journal = {CEUR Workshop Proceedings},
  booktitle = {CEUR Workshop Proceedings},
  year = {2022},
  volume = {3372},
  pages = {90 – 100},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85154584671&partnerID=40&md5=b8e977dc091c374694b95e749623e650},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {Nowadays, innovative higher education institutions (HEIs) have been expanding data-driven decision-making to nearly all aspects of campus life and operations. Their managers understand that advanced analytics can significantly transform how they work by enabling new ways to boost faculty productivity and research. The paper presents a model for monitoring the career development of the faculty staff and a corresponding software tool designed for the needs of HEIs from the perspective of different stakeholder groups (faculty staff, members of quality committees, head of departments, deans and vice-deans, rector and vice-rector) having a role in stimulating career paths in academy. The tool allows them to monitor the career development of the faculty staff and make data-informed decisions to stimulate career paths, ensure equal access to options for career growth, set priorities and adjust them when the situation evolves. In addition, the tool can also significantly assist in the preparation of self-assessment reports with data for the faculty staff for the need for external quality assessment in HE. Research and experiments with the model and the developed tool are conducted based on the information infrastructure of a typical Bulgarian university. © 2022 Copyright for this paper by its authors.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.1066319444},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Data Analytics to Stimulate Career Paths in Academy},
  x_author = {Gaftandzhieva, Silvia and Doneva, Rositsa and Bliznakov, Milen},
  x_year = {2022},
  x_pages = {90 – 100},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85154584671&partnerID=40&md5=b8e977dc091c374694b95e749623e650}
}
@article{Liu2024Improve,
  author = {Liu, Fang},
  title = {Improve the Bi-LSTM Model of University Financial Information Management Platform Construction},
  journal = {Journal of Electrical Systems},
  year = {2024},
  volume = {20},
  pages = {124 – 138},
  doi = {10.52783/jes.671},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185939058&doi=10.52783%2fjes.671&partnerID=40&md5=394533c8cfc8310dab337fdbf61fc54a},
  note = {Cited by: 0; All Open Access, Hybrid Gold Open Access},
  source = {Scopus},
  abstract = {Information Management Systems are vital tools for businesses and organizations to manage their data effectively, make informed decisions, ensure data security and compliance, and enhance operational efficiency. This paper presents a robust approach to information management through the utilization of the Optimized Probabilistic Bidirectional Long Short-Term Memory (OP_Bi-LSTM) model. The study developed into the architecture and application of Simulated Annealing (SA) for hyperparameter optimization, emphasizing the impact of fine-tuning on model performance. OP_Bi-LSTM, rooted in Bidirectional Long Short-Term Memory, exhibits superior sequential data processing capabilities, making it well-suited for a variety of information management tasks. The proposed OP_BI-LSTM hierarchical architecture further enhances its pattern recognition capabilities in the information management system. Results from extensive experimentation demonstrate the model's versatility and adaptability in various applications, such as sentiment analysis, fraud detection, and time-series forecasting. The proposed OP_BI-LSTM model performance analysis is evaluated for the consideration of the different customers and product data. The propsoed OP_Bi-LSTM model achieves the classification accuracy of 0.98. It is stated that OP_Bi-LSTM emerges as a powerful tool for information management, offering exceptional performance and adaptability. As the field of deep learning and information management continues to evolve, this model holds great promise for addressing complex data challenges and facilitating data-driven decision-making in a variety of industries. © JES 2024 on-line: journal.esrgroups.org},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.0849652778},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Improve the Bi-LSTM Model of University Financial Information Management Platform Construction},
  x_author = {Liu, Fang},
  x_journal = {Journal of Electrical Systems},
  x_year = {2024},
  x_pages = {124 – 138},
  x_volume = {20},
  x_doi = {10.52783/jes.671},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185939058&doi=10.52783%2fjes.671&partnerID=40&md5=394533c8cfc8310dab337fdbf61fc54a}
}
@inproceedings{anon2017CEUR,
  title = {CEUR Workshop Proceedings},
  journal = {CEUR Workshop Proceedings},
  booktitle = {CEUR Workshop Proceedings},
  year = {2017},
  volume = {1967},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035063533&partnerID=40&md5=a24ad7e019eab2ff8d0d8f5a04b47a7a},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {The proceedings contain 11 papers. The topics discussed include: FutureLearn data: what we currently have, what we are learning and how it is demonstrating learning in MOOCs; the University of Southampton MOOC observatory dashboard; dynamic dashboard for educators and students in FutureLearn MOOCs: experiences and insights; discussion analytics: identifying conversations and social learners in FutureLearn MOOCs; data analytics informing MOOC continuous improvement; predicting attrition from massive open online courses in FutureLearn and edX; workshop on integrated learning analytics of MOOC post-course development; behavioral predictors of MOOC post-course development; habits of highly successful professional learners and the corresponding online curriculum; public participation in environmental stewardship after MOOCs; and engaging MOOC learners as lifelong collaborators.},
  document_type = {Conference review},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.084837963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {CEUR Workshop Proceedings},
  x_year = {2017},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85035063533&partnerID=40&md5=a24ad7e019eab2ff8d0d8f5a04b47a7a}
}
@inproceedings{Tran2014Reflective,
  author = {Tran, Hien Minh Thi and Anvari, Farshid},
  title = {Reflective frameworks for change management},
  journal = {Proceedings of the 8th European Conference on Information Management and Evaluation, ECIME 2014},
  booktitle = {Proceedings of the 8th European Conference on Information Management and Evaluation, ECIME 2014},
  year = {2014},
  pages = {253 – 261},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84942104608&partnerID=40&md5=4ec4df163d61e0959c19d4b856e27777},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {Financial Information Management Systems (FIMS) is a multidisciplinary field that includes contribution from computing and accounting disciplines. As computing has become ubiquitous, there is a greater demand for information from FIMS. To meet the increase in demand, the role of FIMS has changed significantly. To bring about changes, at the top level, strategies to set objectives and articulate institutional ambitions are formulated; next policies and processes to support strategies and staff development activities are devised; then at a practical and pragmatic level, individuals devise and utilise tactics that bring about or support change. In order to deliver quality professional development courses, instructors must actively update their knowledge of accounting systems and information technology as well as reflect on teaching techniques. Reflective capacity is regarded by many as an essential characteristic for professional competence. Yet little has been written about how experienced instructors reflect on their practices and how they apply their reflections to develop staff and support management in implementing change. In this paper, through a case study at a researchintensive Australian university, we discuss (1) strategies for change, reflective practices and action-research, Constructivist theory, Cognitive Load theory, Bloom's Revised Taxonomy, and their relevance to staff training (2) the 9-C Model of change management: Capacity building, Champions of change, Collaboration, Communication, Coherence-making, Communities, Culture for learning and evaluation, Curriculum development and Continuous improvement, (3) a framework for reflective practices, the Five-dimensional Reflective Cycle Framework (5DRCF): Describe, Analyse, Transform, Act and Evaluate, (4) the application of the 9-C Model and the 5DRCF in assisting managers to work through the complexity of leading and managing the change in FIMS and (5) reflection on our strategies in applying the 9-C Model and the 5DRCF. Our case study demonstrates how we employ the Bloom's Revised Taxonomy, the Cognitive Load theory and the 5DRCF to design and deliver FIMS courses that can assist instructors to teach FIMS in a way that enhances participant's abilities to make meaning of the change and to build staff capabilities. Our paper provides evidences that the 9-C Model and the 5DRCF is an effective reflective framework for change management. © The Authors, 2014. All Rights Reserved.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.1178240741},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Reflective frameworks for change management},
  x_author = {Tran, Hien Minh Thi and Anvari, Farshid},
  x_year = {2014},
  x_pages = {253 – 261},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84942104608&partnerID=40&md5=4ec4df163d61e0959c19d4b856e27777}
}
@inproceedings{Becerra2017Design,
  author = {Becerra, Paola Andrea Chinome and Cárdenas, Consuelo Ruiz and Fernández-Samacá, Liliana},
  title = {Design of an educational management system model oriented to reduce student dropout in engineering programs},
  journal = {2017 Research in Engineering Education Symposium, REES 2017},
  booktitle = {2017 Research in Engineering Education Symposium, REES 2017},
  year = {2017},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034229069&partnerID=40&md5=5c4e6331a5965551988374e61e6bfd29},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {This work presents a of educational management system model oriented to reduce the student dropout in engineering programs by using a process-based approach and general system theory. To design the model, the authors selected a set of variables from those considered in the studies analyzed during the literature review stage by using the Pareto principle as a prioritization tool. The proposed model is based on the process approach defined in ISO 9001: 2015- Quality Management System, taking as a studying process the vocational training, as inputs, the dropout variables and factors and as an output, the status of the student, this means dropout or active student, as sources of inputs, the student, her/his Family and the University and finally, as receivers of outputs, the society. Likewise, the educational management system model comprises an information system and a system of indicators in a continuous improvement process, which takes into account the necessary resources, procedures, and the responsible people. Copyright © 2017 Paola Andrea Chinome Becerra, Consuelo Ruiz Cárdenas y Liliana Fernández-Samacá.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.1079282407},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Design of an educational management system model oriented to reduce student dropout in engineering programs},
  x_author = {Becerra, Paola Andrea Chinome and Cárdenas, Consuelo Ruiz and Fernández-Samacá, Liliana},
  x_year = {2017},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034229069&partnerID=40&md5=5c4e6331a5965551988374e61e6bfd29}
}
@article{Laux2017Impacting,
  author = {Laux, Chad and Li, Na and Seliger, Corey and Springer, John},
  title = {Impacting Big Data analytics in higher education through Six Sigma techniques},
  journal = {International Journal of Productivity and Performance Management},
  year = {2017},
  volume = {66},
  pages = {662 – 679},
  doi = {10.1108/IJPPM-09-2016-0194},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020450513&doi=10.1108%2fIJPPM-09-2016-0194&partnerID=40&md5=d394f1cee8b1a2b6c91fce8f489d018b},
  note = {Cited by: 37},
  source = {Scopus},
  abstract = {Purpose: The purpose of this paper is to develop a framework for utilizing Six Sigma (SS) principles and Big Data analytics at a US public university for the improvement of student success. This research utilizes findings from the Gallup index to identify performance factors of higher education. The goal is to offer a reimagined SS DMAIC methodology that incorporates Big Data principles. Design/methodology/approach: The authors utilize a conceptual research design methodology based upon theory building consisting of discovery, description, explanation of the disciplines of SS and Big Data. Findings: The authors have found that the interdisciplinary approach to SS and Big Data may be grounded in a framework that reimagines the define, measure, analyze, improve and control (DMAIC) methodology that incorporates Big Data principles. The authors offer propositions of SS DMAIC to be theory tested in subsequent study and offer the practitioner managing the performance of higher education institutions (HEIs) indicators and examples for managing the student success mission of the organization. Research limitations/implications: The study is limited to conceptual research design with regard to the SS and Big Data interdisciplinary research. For performance management, this study is limited to HEIs and non-FERPA student data. Implications of this study include a detailed framework for conducting SS Big Data projects. Practical implications: Devising a more effective management approach for higher education needs to be based upon student success and performance indicators that accurately measure and support the higher education mission. A proactive approach should utilize the data rich environment being generated. The individual that is most successful in engaging and managing this effort will have the knowledge and skills that are found in both SS and Big Data. Social implications: HEIs have historically been significant contributors to the development of meritocracy in democratic societies. Due to a variety of factors, HEIs, especially publicly funded institutions, have been under stress due to a reduction of public funding, resulting in more limited access to the public in which they serve. Originality/value: This paper examines Big Data and SS in interdisciplinary effort, an important contribution to SS but lacking a conceptual foundation in the literature. Higher education, as an industry, lacks penetration and adoption of continuous improvement efforts, despite being under tremendous cost pressures and ripe for disruption. © 2017, © Emerald Publishing Limited.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45532.0252430556},
  updated_at = {45539.1134259259},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Impacting Big Data analytics in higher education through Six Sigma techniques},
  x_author = {Laux, Chad and Li, Na and Seliger, Corey and Springer, John},
  x_journal = {International Journal of Productivity and Performance Management},
  x_year = {2017},
  x_pages = {662 – 679},
  x_volume = {66},
  x_doi = {10.1108/IJPPM-09-2016-0194},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020450513&doi=10.1108%2fIJPPM-09-2016-0194&partnerID=40&md5=d394f1cee8b1a2b6c91fce8f489d018b}
}
@article{Mustapha2023Data-Driven,
  author = {Mustapha, Ishamuddin and Rattanawiboonsom, Vichayanan and Intanon, Ruankwan},
  title = {Data-Driven Insights in Higher Education: Exploring the Synergy of Big Data Analytics and Mobile Applications},
  journal = {International Journal of Interactive Mobile Technologies},
  year = {2023},
  volume = {17},
  pages = {21 – 37},
  doi = {10.3991/ijim.v17i20.45037},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177445628&doi=10.3991%2fijim.v17i20.45037&partnerID=40&md5=1c801c8a1d87230cd4674ed4389da4e6},
  note = {Cited by: 0; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {This study explores the potential for transformation that may be achieved via the use of big data analytics and mobile apps in the context of higher education, specifically emphasizing the role of data-driven decision-making. Within the contemporary educational landscape, characterized by the increasing impact of digital technology and mobile devices, institutions of higher education are actively investigating innovative strategies. That enhances effectiveness, customizes learning experiences to suit individual students, and develops overall student accomplishments. The main objective of this research is to examine the effects of incorporating big data analytics and mobile applications into the decision-making capacities of higher education establishments. The PRISMA Statement was used to guide the selection and exclusion of records using the RStudio Biblioshiny approach for data analysis. A comprehensive review of the existing scholarly works, identification of groupings, and study of citation trends within the field. The results and findings illustrate the inherent importance of “big data,” “cloud computing,” “mobile computing,” and “higher education” in the field of research, underscoring their crucial role in data-driven decision-making. Furthermore, the study underscores the significant impact of contemporary technology on administrative processes, personalized learning, and scholastic attainment. This research provides a great addition to the academic field by presenting insightful findings on the substantial influence of big data analytics and mobile applications on the evolution of higher education. This study emphasizes the need to adopt data-driven insights to successfully navigate the ever-changing landscape of higher education. © 2023 by the authors of this article. Published under CC-BY},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45544.6263773148},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Data-Driven Insights in Higher Education: Exploring the Synergy of Big Data Analytics and Mobile Applications},
  x_author = {Mustapha, Ishamuddin and Rattanawiboonsom, Vichayanan and Intanon, Ruankwan},
  x_journal = {International Journal of Interactive Mobile Technologies},
  x_year = {2023},
  x_pages = {21 – 37},
  x_volume = {17},
  x_doi = {10.3991/ijim.v17i20.45037},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177445628&doi=10.3991%2fijim.v17i20.45037&partnerID=40&md5=1c801c8a1d87230cd4674ed4389da4e6}
}
@article{Spinks2023Activating,
  author = {Spinks, Jean and Violette, Richard and Boyle, Douglas IR and Petrie, Dennis and Fanning, Laura and Hall, Kerry K and Kelly, Fiona and Wheeler, Amanda J and Ware, Robert S and Byrnes, Joshua and Chen, Esa and Donald, Andrew and Ellis, Nicolette and DelDot, Megan and Nissen, Lisa},
  title = {Activating pharmacists to reduce the frequency of medication-related problems (ACTMed): a stepped wedge cluster randomised trial},
  journal = {Medical Journal of Australia},
  year = {2023},
  volume = {219},
  pages = {325 – 331},
  doi = {10.5694/mja2.52073},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168276337&doi=10.5694%2fmja2.52073&partnerID=40&md5=cd7193169a01f7cf608264ee90fe3f92},
  note = {Cited by: 0; All Open Access, Hybrid Gold Open Access},
  source = {Scopus},
  abstract = {Background: Medicines are the most frequent health care intervention type; their safe use provides significant benefits, but inappropriate use can cause harm. Systemic primary care approaches can manage serious medication-related problems in a timely manner. Objectives: ACTMed (ACTivating primary care for MEDicine safety) uses information technology and financial incentives to encourage pharmacists to work more closely with general practitioners to reduce the risk of harm, improve patients’ experience of care, streamline workflows, and increase the efficiency of medical care. Methods and analysis: The stepped wedge cluster randomised trial in 42 Queensland primary care practices will assess the effectiveness of the ACTMed intervention. The primary outcome will be the proportion of people at risk of serious medication-related problems — patients with atrial fibrillation, heart failure, cardiovascular disease, type 2 diabetes, or asthma or chronic obstructive pulmonary disease — who experience such problems. We will also estimate the cost per averted serious medication-related problem and the cost per averted potentially preventable medication-related hospitalisation. Ethics approval: The University of Queensland Human Research Ethics Committee approved the pilot (2021/HE002189) and trial phases of the ACTMed study (2022/HE002136). Access to Patron data was granted by the Patron Data Governance Committee (PAT052ACTMed). Access to linked hospitalisations and deaths data are subject to Public Health Act approval (pending). Dissemination of findings: A comprehensive dissemination plan will be co-developed by the researchers, the ACTMed steering committee and consumer advisory group, project partners, and trial site representatives. Aboriginal and Torres Strait Islander communities will be supported in leading community-level dissemination. Trial registration: Australian New Zealand Clinical Trials Registry (pilot: ACTRN12622000595718; 21 April 2022; full trial: ACTRN12622000574741; 14 April 2022). © 2023 The Authors. Medical Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of AMPCo Pty Ltd.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.0864351852},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Activating pharmacists to reduce the frequency of medication-related problems (ACTMed): a stepped wedge cluster randomised trial},
  x_author = {Spinks, Jean and Violette, Richard and Boyle, Douglas IR and Petrie, Dennis and Fanning, Laura and Hall, Kerry K and Kelly, Fiona and Wheeler, Amanda J and Ware, Robert S and Byrnes, Joshua and Chen, Esa and Donald, Andrew and Ellis, Nicolette and DelDot, Megan and Nissen, Lisa},
  x_journal = {Medical Journal of Australia},
  x_year = {2023},
  x_pages = {325 – 331},
  x_volume = {219},
  x_doi = {10.5694/mja2.52073},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168276337&doi=10.5694%2fmja2.52073&partnerID=40&md5=cd7193169a01f7cf608264ee90fe3f92}
}
@inproceedings{anon2018Proceedings,
  title = {Proceedings of the International Conference on Industrial Engineering and Operations Management Pretoria, IEOM 2018},
  journal = {Proceedings of the International Conference on Industrial Engineering and Operations Management},
  booktitle = {Proceedings of the International Conference on Industrial Engineering and Operations Management},
  year = {2018},
  volume = {2018},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067174034&partnerID=40&md5=24d2406f5bcaf3af61289e591d24b7b5},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {This proceedings contains 192 papers. The conference aims to provide a forum to share the ideas and recent developments in the field of Industrial Engineering and Operations Management. The conference topics covering industrial issues/applications and academic research include Artificial Intelligence; Automation and Control; Business Management; Case Studies; Computers and Computing; Construction Management; Cyber Security; Data Analytics and Big Data; Decision Sciences; Defense Management Science; Design and Analysis; E-Business and E-Commerce; E-Manufacturing and RMS (Reconfigurable Manufacturing Systems); Energy; Engineering Economy; Engineering Education; Engineering Management; Entrepreneurship and Innovation; Environmental Engineering; Facilities Planning and Management; Financial Engineering; Healthcare Systems; Human Factors and Ergonomics; IE / OM in Africa; Information Technology and Information Systems; Inventory Management; Lean; Logistics Management; Manufacturing; Material Flow Cost Accounting (MFCA); Modeling and Simulation; Occupational Safety and Health (OSH); Operations Management; Operations Research; Optimization; Product Lifecycle Management (PLM); Production Planning and Management; Project Management; Quality Control and Management; Reliability and Maintenance; Sensors and Sensing Systems; Service Systems and Service Management; Six Sigma; Software Testing and Quality Assurance; Statistics; Supply Chain Management; Sustainability and Green Systems; Sustainability in Supply Chain, Enterprise Operations and Strategies including Food Supply Chain (Special Track, organized by Prof. Jose Arturo Garza-Reyes, Derby Business School, University of Derby, UK and Dr. Vikas Kumar, Bristol Business School, University of the West of England, UK); Sustainable Manufacturing; Systems Engineering; Technology Management; Total Quality Management; Transportation and Traffic; Waste Management; Work Design, Measurement, Standardization and ISO, etc. The key terms of this proceedings include agro waste bio adsorbents, electromagnetic wave attenuation, photocatalysis, application of computer aided technologies, End-of-Life Tyre (EOLT) Management, disaster risk reduction, design optimization, integrating quality management systems, remote monitoring application, water distribution system.},
  document_type = {Conference review},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.086875},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Proceedings of the International Conference on Industrial Engineering and Operations Management Pretoria, IEOM 2018},
  x_year = {2018},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067174034&partnerID=40&md5=24d2406f5bcaf3af61289e591d24b7b5}
}
@inproceedings{anon201810th,
  title = {10th International ICT Innovations Conference, ICT Innovations 2018},
  journal = {Communications in Computer and Information Science},
  booktitle = {Communications in Computer and Information Science},
  year = {2018},
  volume = {940},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053871440&partnerID=40&md5=cc2917d713c77353deb7019a08e4d722},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {The proceedings contain 24 papers. The special focus in this conference is on ICT Innovations. The topics include: Sarcasm and Irony Detection in English Tweets; review of Automated Weed Control Approaches: An Environmental Impact Perspective; stories for Images-in-Sequence by Using Visual and Narrative Components; bioelectrical Impedance Technology in Sports Anthropometry: Segmental Analysis in Karate Athletes; initialization of Matrix Factorization Methods for University Course Recommendations Using SimRank Similarities; deep Learning the Protein Function in Protein Interaction Networks; getting Engaged: Assisted Play with a Humanoid Robot Kaspar for Children with Severe Autism; evaluation of Multiple Approaches for Visual Question Reasoning; explorations into Deep Neural Models for Emotion Recognition; standardization and Quality Assurance in Life-Science Research - Crucially Needed or Unnecessary and Annoying Regulation?; medical Real-Time Data Analytics System Design Aspects, Reference Architecture and Evaluation; character Traits in Online Education: Case Study; Amplitude Rescaling Influence on QRS Detection; Novel Data Processing Approach for Deriving Blood Pressure from ECG Only; performances of Fast Algorithms for Random Codes Based on Quasigroups for Transmission of Audio Files in Gaussian Channel; foresight as a Tool for Increasing Creativity in the Age of Technology-Enhanced Learning; electrophysiological and Psychological Parameters of Learning in Medical Students with High Trait Anxiety; group Decision Making for Selection of Supplier Under Public Procurement; emotion-Aware Teaching Robot: Learning to Adjust to User’s Emotional State; the Application of an Air Pollution Measuring System Built for Home Living; framework for Human Activity Recognition on Smartphones and Smartwatches; parallel Decoding of Turbo Codes.},
  document_type = {Conference review},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.0867939815},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {10th International ICT Innovations Conference, ICT Innovations 2018},
  x_year = {2018},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053871440&partnerID=40&md5=cc2917d713c77353deb7019a08e4d722}
}
@inproceedings{French2018Intelligent,
  author = {French, Richard and Benakis, Michalis and Marin-Reyes, Hector},
  title = {Intelligent sensing for robotic re-manufacturing in aerospace - An industry 4.0 design based prototype},
  journal = {Proceedings - 2017 IEEE 5th International Symposium on Robotics and Intelligent Sensors, IRIS 2017},
  booktitle = {Proceedings - 2017 IEEE 5th International Symposium on Robotics and Intelligent Sensors, IRIS 2017},
  year = {2018},
  volume = {2018-January},
  pages = {272 – 277},
  doi = {10.1109/IRIS.2017.8250134},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047417505&doi=10.1109%2fIRIS.2017.8250134&partnerID=40&md5=6f0d651dd26fc3c84fcd195b959deedd},
  note = {Cited by: 30; All Open Access, Green Open Access},
  source = {Scopus},
  abstract = {Emerging through an industry-academia collaboration between the University of Sheffield and VBC Instrument Engineering Ltd, a proposed robotic solution for remanufacturing of jet engine compressor blades is under ongoing development, producing the first tangible results for evaluation. Having successfully overcome concept adaptation, funding mechanisms, design processes, with research and development trials, the stage of concept optimization and end-user application has commenced. A variety of new challenges is emerging, with multiple parameters requiring control and intelligence. An interlinked collaboration between operational controllers, Quality Assurance (QA) and Quality Control (QC) systems, databases, safety and monitoring systems, is creating a complex network, transforming the traditional manual re-manufacturing method to an advanced intelligent modern smart-factory. Incorporating machine vision systems for characterization, inspection and fault detection, alongside advanced real-time sensor data acquisition for monitoring and evaluating the welding process, a huge amount of valuable industrial data is produced. Information regarding each individual blade is combined with data acquired from the system, embedding data analytics and the concept of 'Internet of Things' (IoT) into the aerospace re-manufacturing industry. The aim of this paper is to give a first insight into the challenges of the development of an Industry 4.0 prototype system and an evaluation of first results of the operational prototype. © 2017 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.0873263889},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Intelligent sensing for robotic re-manufacturing in aerospace - An industry 4.0 design based prototype},
  x_author = {French, Richard and Benakis, Michalis and Marin-Reyes, Hector},
  x_year = {2018},
  x_pages = {272 – 277},
  x_doi = {10.1109/IRIS.2017.8250134},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047417505&doi=10.1109%2fIRIS.2017.8250134&partnerID=40&md5=6f0d651dd26fc3c84fcd195b959deedd}
}
@inproceedings{Corscadden2018Developing,
  author = {Corscadden, Jack and Eastman, Ross and Echelberger, Reece and Hagan, Connor and Kipp, Clark and Magnusson, Erik and Muller, Graham and Adams, Stephen and Valeiras, James and Scherer, William T.},
  title = {Developing analytical tools to impact U.Va. football performance},
  journal = {2018 Systems and Information Engineering Design Symposium, SIEDS 2018},
  booktitle = {2018 Systems and Information Engineering Design Symposium, SIEDS 2018},
  year = {2018},
  pages = {249 – 254},
  doi = {10.1109/SIEDS.2018.8374746},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049336975&doi=10.1109%2fSIEDS.2018.8374746&partnerID=40&md5=22f4ae5845abc3ef653e61c5bebdab42},
  note = {Cited by: 5},
  source = {Scopus},
  abstract = {Data analytics has permeated the sports world, but the funds needed to employ data scientists dedicated exclusively to programs at the collegiate level are hard to come by. As a result, Division I football programs are currently not using data analytics and technology to their full potential. This project aims to use technology and data analytics to enhance the performance of the University of Virginia Football program and serves as a continuation of the efforts of previous U.Va. Systems Engineers to bring U.Va.'s program to the technological forefront of college programs. This paper outlines ongoing efforts involving supplementation to analyses currently being done by the program while also introducing new methods to aid the U.Va. coaching staff. Building upon the previously identified 'Three Pillars of Data Analytics' for U.Va. Football, this multi-faceted project includes an analysis of how players' practice performance corresponds to in-game performance, the validation of a previously built 4th down decision tool delivered last year as a means to aid in difficult in-game decision making, and the development of an automated tool to classify offensive play formations using computer vision. These efforts aim to help the coaching staff optimize practice schedules, provide them with data-driven decision-making aids to be used in-game, and increase opponent scouting capabilities while also saving the labor required to do so. © 2018 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.0876041667},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Developing analytical tools to impact U.Va. football performance},
  x_author = {Corscadden, Jack and Eastman, Ross and Echelberger, Reece and Hagan, Connor and Kipp, Clark and Magnusson, Erik and Muller, Graham and Adams, Stephen and Valeiras, James and Scherer, William T.},
  x_year = {2018},
  x_pages = {249 – 254},
  x_doi = {10.1109/SIEDS.2018.8374746},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049336975&doi=10.1109%2fSIEDS.2018.8374746&partnerID=40&md5=22f4ae5845abc3ef653e61c5bebdab42}
}
@inproceedings{Kontzinos2019University,
  author = {Kontzinos, Christos and Markaki, Ourania and Kokkinakos, Panagiotis and Karakolis, Vagelis and Skalidakis, Stavros and Psarras, John},
  title = {University process optimisation through smart curriculum design and blockchain-based student accreditation},
  journal = {18th International Conference on WWW/Internet 2019},
  booktitle = {18th International Conference on WWW/Internet 2019},
  year = {2019},
  pages = {93 – 100},
  doi = {10.33965/icwi2019_201913l012},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079098075&doi=10.33965%2ficwi2019_201913l012&partnerID=40&md5=b00d6fdcad6dd0a5a6dd39ceda7f1266},
  note = {Cited by: 16; All Open Access, Bronze Open Access},
  source = {Scopus},
  abstract = {The main goals of Higher Education Institutions (HEIs) are to develop the intellectual abilities of students as well as prepare them for entering the labor market. The connection between HEIs and the labor market is why the effectiveness and quality of the provided services of academic institutions tend to be evaluated in terms of the time it takes for their graduates to find employment. This paper presents work from the EU funded research project QualiChain that aims to transform and revolutionize the domain of public education as well as its interfaces with those of private education, the labor market, public and private organizations and society at large, drawing its added value proposition from the challenges currently faced in these domains. The ultimate goal of the project is the development of the QualiChain platform that will offer blockchain-enabled verification of education and other credentials as well as data analytics and decision support for process optimization. The platform will be validated via its implementation in four different pilot cases. The present paper focuses on the pilot of optimizing university operations through semantically enhanced data and advanced decision support algorithms that will be implemented in the National Technical University of Athens (NTUA). © 2019.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45544.6234606481},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {University process optimisation through smart curriculum design and blockchain-based student accreditation},
  x_author = {Kontzinos, Christos and Markaki, Ourania and Kokkinakos, Panagiotis and Karakolis, Vagelis and Skalidakis, Stavros and Psarras, John},
  x_year = {2019},
  x_pages = {93 – 100},
  x_doi = {10.33965/icwi2019_201913l012},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079098075&doi=10.33965%2ficwi2019_201913l012&partnerID=40&md5=b00d6fdcad6dd0a5a6dd39ceda7f1266}
}
@article{Costa2021Practice,
  author = {Costa, Ana and Chandran, Latha and Schabel, Joy and Abola, Ramon E and Adsumelli, Rishimani and Fischel, Janet E.},
  title = {Practice habits in anesthesiology resident education: The impact of feedback using data analytics},
  journal = {Perioperative Care and Operating Room Management},
  year = {2021},
  volume = {24},
  doi = {10.1016/j.pcorm.2021.100176},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106207229&doi=10.1016%2fj.pcorm.2021.100176&partnerID=40&md5=995808e37c7590d03458ce3b882b8dbf},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Background: The Accreditation Council for Graduate Medical Education (ACGME) has annually asked residents about several aspects of their education including whether they have received data about practice habits. However, the term “practice habits” is not clearly defined, allowing for varied interpretation. A working definition of practice habits was developed at the Renaissance School of Medicine Department of Anesthesiology at Stony Brook University, guided by educational program leadership utilizing information retrievable from the electronic health record (EHR). We used this information to provide practice habits data to anesthesiology residents. We hypothesized that the provision of practice habits feedback would lead to increased compliance on ACGME surveys. Methods: Several parameters were extracted from the EHR of every resident surgical case during their training years from 2017 to 2019. Each resident received feedback on those measures and de-identified aggregate data on trainees at the same training level. The ACGME survey data on practice habits were compared pre- to post-implementation of feedback provision. Results: The program scored compliance rates above the national mean for two consecutive years after implementation of the new feedback system: 79% vs 71% in 2017–2018, and 95% vs 71% in 2018–2019. Conclusions: Existing EHR data sources may serve as useful resources for residency programs to provide real-world feedback to trainees on their practice habits and inform program leadership about trainee progress and program gaps. Such feedback allows for peer-comparisons and identification of gaps in skills training and facilitates improved program compliance rate in the ACGME survey. © 2021},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45532.0252430556},
  updated_at = {45539.0877199074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Practice habits in anesthesiology resident education: The impact of feedback using data analytics},
  x_author = {Costa, Ana and Chandran, Latha and Schabel, Joy and Abola, Ramon E and Adsumelli, Rishimani and Fischel, Janet E.},
  x_journal = {Perioperative Care and Operating Room Management},
  x_year = {2021},
  x_volume = {24},
  x_doi = {10.1016/j.pcorm.2021.100176},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106207229&doi=10.1016%2fj.pcorm.2021.100176&partnerID=40&md5=995808e37c7590d03458ce3b882b8dbf}
}
@article{Javed2023A,
  author = {Javed, Yasir and Alenezi, Mamdouh},
  title = {A Case Study on Sustainable Quality Assurance in Higher Education},
  journal = {Sustainability (Switzerland)},
  year = {2023},
  volume = {15},
  doi = {10.3390/su15108136},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160737325&doi=10.3390%2fsu15108136&partnerID=40&md5=26b49827f02eb0e8112c7d6e3fc65fc4},
  note = {Cited by: 7; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {In contemporary academia, accreditation stands as a vital process for universities to uphold their reputation and deliver quality education to students. Key Performance Indicators (KPIs) significantly contribute to this process by enabling institutions to assess their performance in crucial areas, such as student outcomes, faculty engagement, and research effectiveness. To achieve sustainable accreditation, universities necessitate a comprehensive data management system capable of handling extensive data and generating pertinent insights. High-quality education remains paramount for academic institutions to equip students with essential professional skills, thereby enabling societal economic advancement. A sustainable quality management system is an innovative approach emphasizing continuous improvement and long-term planning to enhance an organization’s overall performance and maintain a competitive edge within the sector. This paper presents a case study on sustainable quality assurance in higher education, underscoring the importance of KPIs in accreditation and the need for a robust data management system to ensure sustainability. Additionally, it highlights the significance of delivering high-quality education and the role of a sustainable quality management system in realizing this objective. © 2023 by the authors.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45531.982349537},
  updated_at = {45544.6222106482},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {A Case Study on Sustainable Quality Assurance in Higher Education},
  x_author = {Javed, Yasir and Alenezi, Mamdouh},
  x_journal = {Sustainability (Switzerland)},
  x_year = {2023},
  x_volume = {15},
  x_doi = {10.3390/su15108136},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160737325&doi=10.3390%2fsu15108136&partnerID=40&md5=26b49827f02eb0e8112c7d6e3fc65fc4}
}
@inproceedings{Hamza2010Service,
  author = {Hamza, Taher Tawfeek and Hassan, Ahmed and Alhadidy, Mohamed Ali},
  title = {Service oriented process management system for university quality},
  journal = {INFOS2010 - 2010 7th International Conference on Informatics and Systems},
  booktitle = {INFOS2010 - 2010 7th International Conference on Informatics and Systems},
  year = {2010},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77953162842&partnerID=40&md5=677553f3b73edbf687ffc40d52098935},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Quality assurance center in Mansoura University has been developing new strategic plans and activities. These plans and activities need to be automated as a part of the whole automation objectives of quality assurance. Process management is the most suitable approach to automate the quality assurance procedures. The system integrates with the University data management systems using a set of web services. In this paper we introduce a service oriented process management system to manage the quality assurance procedures in University. We've modeled the quality assurance procedures from a process management perspective. Then introduced the service oriented architecture and services composition of the system. The system provides a suitable tool for executing, monitoring, and enhancing the quality assurance procedures.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45531.982349537},
  updated_at = {45539.0879976852},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Service oriented process management system for university quality},
  x_author = {Hamza, Taher Tawfeek and Hassan, Ahmed and Alhadidy, Mohamed Ali},
  x_year = {2010},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77953162842&partnerID=40&md5=677553f3b73edbf687ffc40d52098935}
}
@article{Tobias2013Significance,
  author = {Tobias, P. and Vrana, D. and Cwiertka, K. and Gremlica, D. and Slampa, P.},
  title = {Significance of using DICOM communication standard in quality assurance in radiation oncology - An institutional experience},
  journal = {Journal of B.U.ON.},
  year = {2013},
  volume = {18},
  pages = {1045 – 1047},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893144961&partnerID=40&md5=c2bc3479459a699b9f898e20634cf6f0},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Purpose: The purpose of this article was to highlight the importance of data management systems in radiotherapy. Methods: We performed a database search to review the errors or potential errors in radiotherapy planning and delivery which could be prevented in case of using the DICOM communication system. Results: We registered the following rates of errors: 1) Errors caused by manual rewriting of treatment plan 30%, 2) Errors caused by wrong assignment of the verification system 15%; 3) Errors during the manual rewriting of treatment data to the verification system 15%; 4) Patient identification 5%; 5) Field verification 15% 6) Wedge orientation 10% Conclusion: DICOM communication system may significantly improve the quality assurance in radiotherapy.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45531.982349537},
  updated_at = {45539.0882407407},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Significance of using DICOM communication standard in quality assurance in radiation oncology - An institutional experience},
  x_author = {Tobias, P. and Vrana, D. and Cwiertka, K. and Gremlica, D. and Slampa, P.},
  x_journal = {Journal of B.U.ON.},
  x_year = {2013},
  x_pages = {1045 – 1047},
  x_volume = {18},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893144961&partnerID=40&md5=c2bc3479459a699b9f898e20634cf6f0}
}
@article{Lackeyram2019The,
  author = {Lackeyram, Dale and Donald, John and Gorrie, Richard and Zytner, Richard G.},
  title = {The development of technology-supported approaches to the LO process for accredited engineering programs},
  journal = {International Journal of Engineering Education},
  year = {2019},
  volume = {1},
  pages = {74 – 84},
  doi = {10.14710/IJEE.1.2.74-84},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113428060&doi=10.14710%2fIJEE.1.2.74-84&partnerID=40&md5=8a0d17f6e1ef3b2b9f57f51af8795d5f},
  note = {Cited by: 1; All Open Access, Bronze Open Access},
  source = {Scopus},
  abstract = {Tracking graduate outcomes is a new requirement for engineering education in Canada. Working closely with curriculum developers and educational technologists, the School of Engineering at the University of Guelph developed a curriculum improvement process that combined people, process and learning management technology to collect and analyze the required data. The process began by tracking 12 graduate attributes through 41 indicators in the fourth year capstone course. Tracking was then expanded to common core courses and then finally to all program specific courses. The time to successfully develop and fully implement the process to track and analyze the 12 graduate outcomes was less than six years. To complete in this timeline required engaged and open-minded participants, as well as integrated technologies to collect and report the data. The resulting process provides a sound way for tracking outcomes to satisfy accreditation requirements and internal quality education metrics. Most importantly, all faculty and staff now realize the importance of collecting graduate outcome data and have various support mechanisms at their disposal, leading to the ultimate goal of curriculum improvement. © 2019 Tempus Publications. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45527.0004976852},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {The development of technology-supported approaches to the LO process for accredited engineering programs},
  x_author = {Lackeyram, Dale and Donald, John and Gorrie, Richard and Zytner, Richard G.},
  x_journal = {International Journal of Engineering Education},
  x_year = {2019},
  x_pages = {74 – 84},
  x_volume = {1},
  x_doi = {10.14710/IJEE.1.2.74-84},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113428060&doi=10.14710%2fIJEE.1.2.74-84&partnerID=40&md5=8a0d17f6e1ef3b2b9f57f51af8795d5f}
}
@article{Nagi2019Using,
  author = {Nagi, Kuldeep},
  title = {Using learning analytic tools to enhance quality of hands-on-activities in online technology courses},
  journal = {Universal Journal of Educational Research},
  year = {2019},
  volume = {7},
  pages = {1084 – 1089},
  doi = {10.13189/ujer.2019.070420},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065317417&doi=10.13189%2fujer.2019.070420&partnerID=40&md5=6778851b9507e869ba6c7de86c6395c8},
  note = {Cited by: 3; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {In the last few years, there has been a proliferation of online Information Technology (IT) and management related programs in many Thai universities. Big data analytic has turned into a new science in refining businesses strategies, but there is a lack of strategy when it comes to analyzing the data captured in various Learning Management Systems (LMSs) used for hosting the course contents. This case study provides an insight into how to use of Moodle “Reports” as a Learning Analytic (LA) tool for analyzing the use of Hands-on-Activities (HOAs), lab activities and assignments provided in technology related courses. This small study is also used to propose a new framework for using LA to improve quality assurance (QA) in such programs. © 2019 by authors, all rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.9979166667},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Using learning analytic tools to enhance quality of hands-on-activities in online technology courses},
  x_author = {Nagi, Kuldeep},
  x_journal = {Universal Journal of Educational Research},
  x_year = {2019},
  x_pages = {1084 – 1089},
  x_volume = {7},
  x_doi = {10.13189/ujer.2019.070420},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065317417&doi=10.13189%2fujer.2019.070420&partnerID=40&md5=6778851b9507e869ba6c7de86c6395c8}
}
@article{Azeroual2019Quality,
  author = {Azeroual, Otmane and Schöpfel, Joachim},
  title = {Quality issues of CRIS data: An exploratory investigation with universities from twelve countries},
  journal = {Publications},
  year = {2019},
  volume = {7},
  doi = {10.3390/publications7010014},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063152600&doi=10.3390%2fpublications7010014&partnerID=40&md5=bc0330d089a3871db53f583b882228ea},
  note = {Cited by: 22; All Open Access, Gold Open Access, Green Open Access},
  source = {Scopus},
  abstract = {Collecting, integrating, storing and analyzing data in a database system is nothing new in itself. To introduce a current research information system (CRIS) means that scientific institutions must provide the required information on their research activities and research results at a high quality. A one-time cleanup is not sufficient; data must be continuously curated and maintained. Some data errors (such as missing values, spelling errors, inaccurate data, incorrect formatting, inconsistencies, etc.) can be traced across different data sources and are difficult to find. Small mistakes can make data unusable, and corrupted data can have serious consequences. The sooner quality issues are identified and remedied, the better. For this reason, new techniques and methods of data cleansing and data monitoring are required to ensure data quality and its measurability in the long term. This paper examines data quality issues in current research information systems and introduces new techniques and methods of data cleansing and data monitoring with which organizations can guarantee the quality of their data. © 2018 by the authors.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.9956712963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Quality issues of CRIS data: An exploratory investigation with universities from twelve countries},
  x_author = {Azeroual, Otmane and Schöpfel, Joachim},
  x_journal = {Publications},
  x_year = {2019},
  x_volume = {7},
  x_doi = {10.3390/publications7010014},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063152600&doi=10.3390%2fpublications7010014&partnerID=40&md5=bc0330d089a3871db53f583b882228ea}
}
@article{Rae2019Sustainable,
  author = {Rae, Sandy and Hunn, Margaret and Lobo, Ana},
  title = {Sustainable, Continuous Improvement in Online Academic and Information Literacy Support},
  journal = {Journal of the Australian Library and Information Association},
  year = {2019},
  volume = {68},
  pages = {68 – 77},
  doi = {10.1080/24750158.2018.1561600},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060215357&doi=10.1080%2f24750158.2018.1561600&partnerID=40&md5=c909038faaae7a00f3c9b44b86b24457},
  note = {Cited by: 3; All Open Access, Green Open Access},
  source = {Scopus},
  abstract = {This paper builds on previous research that evaluated the impact of an embedded online academic and information literacy module into the learning management system (LMS) of a first-year university business course. The research findings concluded that the resource contributed to student success and helped to demonstrate the value of the library at Griffith University to the wider community. Since the original module was embedded into the LMS for a single course in 2014, the provision of these bespoke online modules has expanded. Data has been gathered over the years from 2014 to 2017 on unique users and page views of the modules. Usage has exploded from 4442 page visits by 910 unique users in one course in 2014, to 271,556 page visits by 12,456 unique users in 45 different courses in 2017. Whilst the learning analytics support the continued and increased provision of these resources, other issues around sustainability have arisen and need to be addressed. The aim of this paper is to examine how the use of an e-learning model can help address issues of sustainability that arise as part of supporting an online approach to academic and information literacy support. © 2019, © 2019 Sandy Rae, Margaret Hunn and Ana Lobo.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.9913657407},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Sustainable, Continuous Improvement in Online Academic and Information Literacy Support},
  x_author = {Rae, Sandy and Hunn, Margaret and Lobo, Ana},
  x_journal = {Journal of the Australian Library and Information Association},
  x_year = {2019},
  x_pages = {68 – 77},
  x_volume = {68},
  x_doi = {10.1080/24750158.2018.1561600},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060215357&doi=10.1080%2f24750158.2018.1561600&partnerID=40&md5=c909038faaae7a00f3c9b44b86b24457}
}
@article{Singh2023Standard,
  author = {Singh, Prakash and Alhassan, Ibrahim and Binsaif, Nasser and Alhussain, Thamer},
  title = {Standard Measuring of E-Learning to Assess the Quality Level of E-Learning Outcomes: Saudi Electronic University Case Study},
  journal = {Sustainability (Switzerland)},
  year = {2023},
  volume = {15},
  doi = {10.3390/su15010844},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146044306&doi=10.3390%2fsu15010844&partnerID=40&md5=704062fa1d0fa4a72c0ec3dcf9cba57e},
  note = {Cited by: 5; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Education in multiple forms and diverse geographical contexts delivers quality in all aspects of learning in which stakeholders such as students, instructors, and educational institutions play an important role. Quality assurance in higher education ensures the smooth functioning of the teaching and learning process by supporting the attainment of the desired quality levels of learning outcomes. This further leads to educational sustainability, as education has been acknowledged as a strategic constituent of sustainability-focused strategies in many educational contexts. Hence, it has become very important for educational institutions to maintain quality standards through the implementation of appropriate strategies, as quality is the lifeline of both Traditional Learning and E-Learning, and a lack of a suitable assessment standard affects the quality of learning. This research study attempts to address the existing gaps observed following a review of the related literature. This study collected qualitative data using an observation method through the observations and review of online software used at the Saudi Electronic University, namely Blackboard Learning Management System (LMS), Tawkeed Quality Management E-System, and Blue Survey software. In addition to this, the expertise of the research team members was also utilized for this research study in designing E-Learning quality dimensions. The purpose of this study was to propose an E-Learning Quality Assessment Standard that will help third-level educational institutions to assess their current teaching and learning practices of E-Learning and support them in enhancing the overall students’ experiences toward E-Learning within their institutions. As a research outcome, a conceptual quality assessment standard titled “SPECIFIERS” was proposed to offer a helping hand during the E-Learning quality assessment process to ensure sustainable education development of global educational institutions. © 2023 by the authors.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.9766319444},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Standard Measuring of E-Learning to Assess the Quality Level of E-Learning Outcomes: Saudi Electronic University Case Study},
  x_author = {Singh, Prakash and Alhassan, Ibrahim and Binsaif, Nasser and Alhussain, Thamer},
  x_journal = {Sustainability (Switzerland)},
  x_year = {2023},
  x_volume = {15},
  x_doi = {10.3390/su15010844},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146044306&doi=10.3390%2fsu15010844&partnerID=40&md5=704062fa1d0fa4a72c0ec3dcf9cba57e}
}
@inproceedings{Thongkaew2023Data,
  author = {Thongkaew, Kunlapat and Vasupongayya, Sangsuree and Phongsooknirun, Jiraporn and Loywirat, Thanita},
  title = {Data Analytics for Admission Process: Bachelor of Engineering Program},
  journal = {Advances in Transdisciplinary Engineering},
  booktitle = {Advances in Transdisciplinary Engineering},
  year = {2023},
  volume = {41},
  pages = {671 – 680},
  doi = {10.3233/ATDE230663},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184303175&doi=10.3233%2fATDE230663&partnerID=40&md5=aa3f05bc98b1ef12769a1c6570db5657},
  note = {Cited by: 0; All Open Access, Bronze Open Access},
  source = {Scopus},
  abstract = {Higher education provides opportunities to many occupations, influencing one's career. Higher education admissions processes vary by country or university, from reviewing materials to admissions decisions. Different admissions philosophies may influence applicants' eligibility for higher education and admission versus choice of admission. However, the intense competition among hundreds of applicants has compelled universities to upgrade their recruitment procedures to accept students with exceptional potential. Data analysis procedures have been applied in many areas to extract valuable insights from available data. Many industries acquire, store, and analyze data to make strategic decisions and gain valuable knowledge. Data analytic has been applied in the education industry to facilitate improved decisions in various sectors, including the development of tailored and dynamic learning programs, the enhancement of grading systems, and the prediction of a student's optimal future career. Therefore, the purpose of this research is to apply data analytics to facilitate a data-driven decision process based on prospective and current student data. The academic performance of current engineering students in both university and high school is analyzed in this study. Since there are 13 engineering programs considered, the different environmental settings of schools or engineering programs are also taken into account. Additionally, the impact of COVID-19 on the teaching and learning process in recent years was considered. The results were used to enhance the first-year engineering academic support program and evaluate the effectiveness of the current admissions procedure. © 2023 The Authors.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.9552314815},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Data Analytics for Admission Process: Bachelor of Engineering Program},
  x_author = {Thongkaew, Kunlapat and Vasupongayya, Sangsuree and Phongsooknirun, Jiraporn and Loywirat, Thanita},
  x_year = {2023},
  x_pages = {671 – 680},
  x_doi = {10.3233/ATDE230663},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184303175&doi=10.3233%2fATDE230663&partnerID=40&md5=aa3f05bc98b1ef12769a1c6570db5657}
}
@article{Li2022A,
  author = {Li, Qingyun and Duffy, Peter and Zhang, Zhongyang},
  title = {A Novel Multi-Dimensional Analysis Approach to Teaching and Learning Analytics in Higher Education},
  journal = {Systems},
  year = {2022},
  volume = {10},
  doi = {10.3390/systems10040096},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133883434&doi=10.3390%2fsystems10040096&partnerID=40&md5=27106b5c4fc10bafde934ba790e07b6f},
  note = {Cited by: 4; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {E-learning platforms are being used in higher education to liberate teaching and learning from the constraints of time, pace, and space. These platforms provide rich media content, collaborative assessment, and analytics tools and support learning through a variety of online possibilities. However, the focus of most of this research is on learning analytics inside e-learning platforms and does not cover other related institutional surveys and educator professional development activities. This paper outlines a novel conceptual approach for the creation of a teaching and learning data warehouse analytics system that utilizes a Multi-Dimensional Analysis approach to teaching and learning analytics across these e-learning platforms in combination with other institutional data sources, such as various institutional surveys, tracking of professional development activities, and analysis of the use of the learning management system. The novel teaching and learning data warehouse analytics system (TLDWAS) is being developed at Lingnan University, a leading liberal arts university in Hong Kong. The genesis of this project is analyzing large volumes of teaching and learning data and presenting a big picture for senior management to gain insight from massive amounts of student courses and teacher evaluation data, fill the research gaps mentioned above, and help educators identify problems and solutions more effectively. The TLDWAS provides a visual interface for identifying some indicators and storing, classifying, and analyzing teaching and learning data in various forms to generate statistics, analyze models, and identify meaningful patterns in the data in order to improve teaching and learning. The TLDWAS not only provides more evidence-based decision-making for senior management but is also capable of being applied to identify patterns and relations pertaining to students’ academic performance, usage of e-learning systems, and associated staff development activities. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.9505671296},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {A Novel Multi-Dimensional Analysis Approach to Teaching and Learning Analytics in Higher Education},
  x_author = {Li, Qingyun and Duffy, Peter and Zhang, Zhongyang},
  x_journal = {Systems},
  x_year = {2022},
  x_volume = {10},
  x_doi = {10.3390/systems10040096},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133883434&doi=10.3390%2fsystems10040096&partnerID=40&md5=27106b5c4fc10bafde934ba790e07b6f}
}
@article{Shepherd2023Canvas,
  author = {Shepherd, Ian and Reeves, Brent and Pope, Don},
  title = {Canvas Five Year LMS Accreditation Reporting Using Rubrics and Assignments},
  journal = {Journal of Higher Education Theory and Practice},
  year = {2023},
  volume = {23},
  pages = {202 – 216},
  doi = {10.33423/jhetp.v23i3.5866},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150521456&doi=10.33423%2fjhetp.v23i3.5866&partnerID=40&md5=63ffa67e9fa0289054873a4d28558bb1},
  note = {Cited by: 0; All Open Access, Bronze Open Access},
  source = {Scopus},
  abstract = {There is a surprisingly large gap between measuring inputs to a program and outputs from that program. Accreditation requirements have added an increasingly burdensome workload to degree-plan and course administration. The ease with which one can design assignments and their corresponding rubrics does not freely translate to assessing student response to those assignments. The challenge is to deploy assessment tools that are easy to understand, administer, deploy, and learn from. This paper focuses on the assessment of assignments evaluated by detailed rubrics. We describe tools and processes that enable us to examine years of data at a granularity not directly supported by our LMS. © 2023, North American Business Press. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45525.0427199074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Canvas Five Year LMS Accreditation Reporting Using Rubrics and Assignments},
  x_author = {Shepherd, Ian and Reeves, Brent and Pope, Don},
  x_journal = {Journal of Higher Education Theory and Practice},
  x_year = {2023},
  x_pages = {202 – 216},
  x_volume = {23},
  x_doi = {10.33423/jhetp.v23i3.5866},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150521456&doi=10.33423%2fjhetp.v23i3.5866&partnerID=40&md5=63ffa67e9fa0289054873a4d28558bb1}
}
@article{Pasek2019Education,
  author = {Pasek, Judith E. and Mayer, Jennifer},
  title = {Education needs in research data management for science-based disciplines: Self-assessment surveys of graduate students and faculty at two public universities},
  journal = {Issues in Science and Technology Librarianship},
  year = {2019},
  volume = {2019},
  doi = {10.29173/istl12},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074473519&doi=10.29173%2fistl12&partnerID=40&md5=4fa73ea5fad7f821a92deeebc511863c},
  note = {Cited by: 14; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Research data management is a prominent and evolving consideration for the academic community, especially in scientific disciplines. This research study surveyed 131 graduate students and 79 faculty members in the sciences at two public doctoral universities to determine the importance, knowledge, and interest levels around research data management training and education. The authors adapted 12 competencies for measurement in the study. Graduate students and faculty ranked the following areas most important among the 12 competencies: ethics and attribution, data visualization, and quality assurance. Graduate students indicated they were least knowledgeable and skilled in data curation and re-use, metadata and data description, data conversion and interoperability, and data preservation. Their responses generally matched the perceptions of faculty. The study also examined how graduate students learn research data management, and how faculty perceive that their students learn research data management. Results showed that graduate students utilize self-learning most often and that faculty may be less influential in research data management education than they perceive. Responses for graduate students between the two institutions were not statistically different, except in the area of perceived deficiencies in data visualization competency. Introduction. © 2019, Association of College and Research Libraries. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45525.0287731482},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Education needs in research data management for science-based disciplines: Self-assessment surveys of graduate students and faculty at two public universities},
  x_author = {Pasek, Judith E. and Mayer, Jennifer},
  x_journal = {Issues in Science and Technology Librarianship},
  x_year = {2019},
  x_volume = {2019},
  x_doi = {10.29173/istl12},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074473519&doi=10.29173%2fistl12&partnerID=40&md5=4fa73ea5fad7f821a92deeebc511863c}
}
@article{Bellgard2023RDM+PM,
  author = {Bellgard, Matthew I. and Bennett, Ryan and Wyborn, Yvette and Williams, Chris and Barner, Leonie and Zeps, Nikolajs},
  title = {RDM+PM Checklist: Towards a Measure of Your Institution’s Preparedness for the Effective Planning of Research Data Management},
  journal = {Data Science Journal},
  year = {2023},
  volume = {22},
  doi = {10.5334/dsj-2023-036},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173560414&doi=10.5334%2fdsj-2023-036&partnerID=40&md5=1c9c05e49204cbc1b97f842143380399},
  note = {Cited by: 0; All Open Access, Gold Open Access, Green Open Access},
  source = {Scopus},
  abstract = {A review at our institution and a number of other Australian universities was conducted to identify an optimal institutional-wide approach to Research Data Management (RDM). We found, with a few notable exceptions, a lack of clear policies and processes across institutes and no harmonisation in the approaches taken. We identified limited methods in place to cater for the development of Research Data Management Plans (RDMPs) across different disciplines, project types and no identifiable business intelligence (BI) for auditing or oversight. When interviewed, many researchers were not aware of their institution’s RDM policy, whilst others did not understand how it was relevant to their research. It was also discovered that primary materials (PM), which are often directly linked to the effective management of research data, were not well covered. Additionally, it was unclear in understanding who was the data custodian responsible for overall oversight, and there was a lack of clear guidance on the roles and responsibilities of researchers and their supervisors. These findings indicate that institutions are at risk in terms of meeting regulatory requirements and managing data effectively and safely. In this paper, we outline an alternative approach focusing on RDM ‘Planning’ rather than on RDMPs themselves. We developed simple-to-understand guidance for researchers on the redeveloped RDM policy, which was implemented via an online ‘RDM+PM Checklist’ tool that guides researchers and students. Moreover, as it is a structured tool, it provides real-time business intelligence that can be used to measure how compliant the organisation is and ideally identify opportunities for continuous improvement. © 2023 The Author(s).},
  document_type = {Article},
  author_keywords = {Business Intelligence; Planning; Primary Materials; Research Data Management},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45525.0196296296},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {RDM+PM Checklist: Towards a Measure of Your Institution’s Preparedness for the Effective Planning of Research Data Management},
  x_author = {Bellgard, Matthew I. and Bennett, Ryan and Wyborn, Yvette and Williams, Chris and Barner, Leonie and Zeps, Nikolajs},
  x_journal = {Data Science Journal},
  x_year = {2023},
  x_volume = {22},
  x_doi = {10.5334/dsj-2023-036},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173560414&doi=10.5334%2fdsj-2023-036&partnerID=40&md5=1c9c05e49204cbc1b97f842143380399}
}
@article{Meholick2020Use,
  author = {Meholick, Adriana L. and Jesneck, Jonathan L. and Thanawala, Ruchi M. and Seymour, Neal E.},
  title = {Use of a Secure Web-Based Data Management Platform to Track Resident Operative Performance and Program Educational Quality Over Time},
  journal = {Journal of Surgical Education},
  year = {2020},
  volume = {77},
  pages = {e187 – e195},
  doi = {10.1016/j.jsurg.2020.05.022},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087030442&doi=10.1016%2fj.jsurg.2020.05.022&partnerID=40&md5=c932ce1cef062027743524827b6ec85c},
  note = {Cited by: 3},
  source = {Scopus},
  abstract = {OBJECTIVE: In surgery residency programs, Accreditation Council for Graduate Medical Education mandated performance assessment can include assessment in the operating room to demonstrate that necessary quality and autonomy goals are achieved by the conclusion of training. For the past 3 years, our institution has used The Ottawa Surgical Competency Operating Room Evaluation (O-SCORE) instrument to assess and track operative skills. Evaluation is accomplished in near real-time using a secure web-based platform for data management and analytics (Firefly). Simultaneous to access of the platform's case logging function, the O-SCORE instrument is delivered to faculty members for rapid completion, facilitating quality, and timeliness of feedback. We sought to demonstrate the platform's utility in detecting operative performance changes over time in response to focused educational interventions based on stored case log and O-SCORE data. DESIGN: Stored resident performance assessments for the most frequently performed laparoscopic procedures (cholecystectomy, appendectomy, inguinal hernia repair, ventral hernia repair) were examined for 3 successive academic years (2016-2019). During this time, 4 of 36 residents had received program-assigned supplemental simulation training to improve laparoscopic skills. O-SCORE data for these residents were extracted from peer data, which were used for comparisons. Assigned training consisted of a range of videoscopic and virtual reality skills drills with performance objectives. O-SCORE responses were converted to integers and autonomy scores for items pertaining to technical skill were compared before and after educational interventions (Student's t-tests). These scores were also compared to aggregate scores in the nonintervention group. Bayesian-modeled learning curves were used to characterize patterns of improvement over time. SETTING: University of Massachusetts Medical School-Baystate Surgery Residency and Baystate Medical Center PARTICIPANTS: General surgery residents (n = 36) RESULTS: During the period of review, 3325 resident cases were identified meeting the case type criteria. As expected, overall autonomy increased with the number of cases performed. The 4 residents who had been assigned supplemental training (6-18 months) had preintervention score averages that were lower than that of the nonintervention group (2.25 ± 0.43 vs 3.57 ± 1.02; p < 0.0001). During the respective intervention periods, all 4 residents improved autonomy scores (increase to 3.40 ± 0.61; p < 0.0001). Similar improvements were observed for tissue handling, instrument handling, bimanual dexterity, visuospatial skill, and operative efficiency component skills. Postintervention scores were not significantly different compared to scores for the non-intervention group. Bayesian-modeled learning curves showed a similar pattern of postintervention performance improvement. CONCLUSIONS: The data management platform proved to be an effective tool to track responses to supplemental training that was deemed necessary to close defined skills gaps in laparoscopic surgery. This could be seen both in individual and in aggregated data. We were gratified that at the conclusion of the supplemental training, O-SCORE results for the intervention group were not different than those seen in the non-intervention group. © 2020 Association of Program Directors in Surgery},
  document_type = {Article},
  author_keywords = {Laparoscopic training; Medical Knowledge; Patient Care; Practice-Based Learning and Improvement; Procedural knowledge; Surgical autonomy; Surgical competency; Surgical education; Surgical simulation},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45525.0152546296},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Use of a Secure Web-Based Data Management Platform to Track Resident Operative Performance and Program Educational Quality Over Time},
  x_author = {Meholick, Adriana L. and Jesneck, Jonathan L. and Thanawala, Ruchi M. and Seymour, Neal E.},
  x_journal = {Journal of Surgical Education},
  x_year = {2020},
  x_pages = {e187 – e195},
  x_volume = {77},
  x_doi = {10.1016/j.jsurg.2020.05.022},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087030442&doi=10.1016%2fj.jsurg.2020.05.022&partnerID=40&md5=c932ce1cef062027743524827b6ec85c}
}
@article{Shwe2020Study,
  author = {Shwe, Khin Mar},
  title = {Study on the Data Management of Citizen Science: From the Data Life Cycle Perspective},
  journal = {Data and Information Management},
  year = {2020},
  volume = {4},
  pages = {279 – 296},
  doi = {10.2478/dim-2020-0019},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135060783&doi=10.2478%2fdim-2020-0019&partnerID=40&md5=089a6f82b0b5a5a0f804a6d63ad3fea8},
  note = {Cited by: 5; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {There has been considerable growth in citizen science in academic contributions—researches by the paradigms of different disciplines and by the activities of citizens when undertaking data collecting, data processing, and data analyzing for disseminating results. These researches have proved the importance of data management practices—urgent to carry out the data life cycle. This study aims to analyze the scientific data contribution of citizen science under the data life cycle approach. It investigates 1,020 citizen science projects within the DataONE life cycle framework, which includes data management plan, data collection, data quality assurance, data documentation, data discovery, data integration, data preservation, and data analysis. As the major finding, the result of this study shows that the data management plan is developed with the leading of universities, which are the host of the majority of citizen science projects. The processes of data collection, data quality assurance, data documentation, data preservation, and data analysis are well organized with the systematic tool in the Information and Communications Technology (ICT) age; meanwhile the citizen science projects are cumulative. Data discovery has mostly linked with SciStarter (citizen science community site) and Facebook (social media). In data integration, it is found that most of the projects integrate with global observation. Finally, the study provides the process and procedure of citizen science data management in an effort to contribute the scientific data and the design of data life cycle to academic and governmental works. © 2020 Khin Mar Shwe, published by Sciendo},
  document_type = {Article},
  author_keywords = {citizen science; crowdsourcing; data life cycle; data management; DataONE; hybrid tasks},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45525.0073958333},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Study on the Data Management of Citizen Science: From the Data Life Cycle Perspective},
  x_author = {Shwe, Khin Mar},
  x_journal = {Data and Information Management},
  x_year = {2020},
  x_pages = {279 – 296},
  x_volume = {4},
  x_doi = {10.2478/dim-2020-0019},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135060783&doi=10.2478%2fdim-2020-0019&partnerID=40&md5=089a6f82b0b5a5a0f804a6d63ad3fea8}
}
@article{Li2022Teacher,
  author = {Li, Xiaoying},
  title = {Teacher Education and Management: Innovative Application of Ecological Management System of Big Data Management System},
  journal = {Journal of Sensors},
  year = {2022},
  volume = {2022},
  doi = {10.1155/2022/6048083},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138865406&doi=10.1155%2f2022%2f6048083&partnerID=40&md5=65ece0af93e82197e78eee9bb2bd0f3a},
  note = {Cited by: 0; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {At present, with the rapid growth of China's comprehensive national power, China wants to accelerate the construction of world-class universities and world-class disciplines to match it. Therefore, the education and management of university teachers is crucial, and the current research results at home and abroad in this area are remarkable. In this paper, we will start from the innovative application of university teachers' management system and use the Oracle and SQL Server database processors commonly used in big data processing to process data. It is concluded that China's teaching force is gradually balanced; the comprehensive quality of the teaching force is improving; the academic atmosphere is more open; the fields and perspectives of academic research are richer; the distribution of teachers at all levels in China is more balanced; the comprehensive quality of our teachers is improving; the system of education and scientific research in China's universities is improving; and the ecological management system of universities is improving. In addition, in view of the current situation of education and management of teachers in China's colleges and universities, according to the results of big data analysis, we also propose (1) to improve the academic level and establish a strict institutional threshold for the college teaching profession; (2) to effectively implement the policy of freedom and equality in academic academia and improve the appointment and evaluation system of teachers and principals in higher education institutions; (3) to insist on implementing the principle of academic fairness and optimizing the teacher evaluation system; (4) to innovate and implement the incentive mechanism for teachers in colleges and universities according to the talent training characteristics of teachers' academic career ability; and (5) to establish the access system of college teachers' career development and promote academic career development and other suggestions of big data management for college teachers. © 2022 Xiaoying Li.},
  document_type = {Retracted},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45524.9816550926},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Teacher Education and Management: Innovative Application of Ecological Management System of Big Data Management System},
  x_author = {Li, Xiaoying},
  x_journal = {Journal of Sensors},
  x_year = {2022},
  x_volume = {2022},
  x_doi = {10.1155/2022/6048083},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138865406&doi=10.1155%2f2022%2f6048083&partnerID=40&md5=65ece0af93e82197e78eee9bb2bd0f3a}
}
@article{Masinde2021Research,
  author = {Masinde, Johnson and Chen, Jing and Wambiri, Daniel and Mumo, Angela},
  title = {Research Librarians' Experiences of Research Data Management Activities at an Academic Library in a Developing Country},
  journal = {Data and Information Management},
  year = {2021},
  volume = {5},
  pages = {412 – 424},
  doi = {10.2478/dim-2021-0002},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131206532&doi=10.2478%2fdim-2021-0002&partnerID=40&md5=94726bd329949b68118c8ea28a9a731d},
  note = {Cited by: 5; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {University libraries have archaeologically augmented scientific research by collecting, organizing, maintaining, and availing research materials for access. Researchers reckon that with the expertise acquired from conventional cataloging, classification, and indexing coupled with that attained in the development, along with the maintenance of institutional repositories, it is only rational that libraries take a dominant and central role in research data management and further their capacity as curators. Accordingly, University libraries are expected to assemble capabilities, to manage and provide research data for sharing and reusing efficiently. This study examined research librarians' experiences of RDM activities at the UON Library to recommend measures to enhance managing, sharing and reusing research data. The study was informed by the DCC Curation lifecycle model and the Community Capability Model Framework (CCMF) that enabled the Investigator to purposively capture qualitative data from a sample of 5 research librarians at the UON Library. The data was analysed thematically to generate themes that enabled the Investigator to address the research problem. Though the UON Library had policies on research data, quality assurance and intellectual property, study findings evidenced no explicit policies to guide each stage of data curation and capabilities. There were also inadequacies in skills and training capability, technological infrastructure and collaborative partnerships. Overall, RDM faced challenges in all the examined capabilities. These challenges limited the managing, sharing, and reusing of research data. The study recommends developing an RDM unit within the UON Library to oversee the implementation of RDM activities by assembling all the needed capabilities (policy guidelines, skills and training, technological infrastructure and collaborative partnerships) to support data curation activities and enable efficient managing, sharing and reusing research data. © 2021 Johnson Masinde et al., published by Sciendo},
  document_type = {Article},
  author_keywords = {academic libraries; developing countries; research data; research data management activities; research librarians' perceptions},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45524.9684837963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Research Librarians' Experiences of Research Data Management Activities at an Academic Library in a Developing Country},
  x_author = {Masinde, Johnson and Chen, Jing and Wambiri, Daniel and Mumo, Angela},
  x_journal = {Data and Information Management},
  x_year = {2021},
  x_pages = {412 – 424},
  x_volume = {5},
  x_doi = {10.2478/dim-2021-0002},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131206532&doi=10.2478%2fdim-2021-0002&partnerID=40&md5=94726bd329949b68118c8ea28a9a731d}
}
@inproceedings{Dewi2021Development,
  author = {Dewi, N.R. and Listiaji, P. and Taufiq, M. and Savitri, E.N. and Yanitama, A. and Herianti, A.P.},
  title = {Development of a tracer study system for graduates of the Integrated Science Department, Universitas Negeri Semarang},
  journal = {Journal of Physics: Conference Series},
  booktitle = {Journal of Physics: Conference Series},
  year = {2021},
  volume = {1918},
  doi = {10.1088/1742-6596/1918/4/042010},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108536725&doi=10.1088%2f1742-6596%2f1918%2f4%2f042010&partnerID=40&md5=05166504442d52fc3ddeddbf42e9d069},
  note = {Cited by: 3; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Tracer study is a mechanism implemented by universities to track graduates to measure the relationship between educational goals and processes with the current condition of graduates. In addition, the results of the tracer study are also used as an assessment for higher education accreditation. For this reason, Department of Integrated Science, Faculty of Mathematics and Natural Sciences, Universitas Negeri Semarang has developed a website-based integrated tracer study system. The system development method used is the Waterfall Model which consists of Requirement Analysis, Design, Development, and Testing. From the results of testing conducted by information systems experts, the system being developed is very feasible both in terms of functionality and usability. The website-based online system can handle graduate data management, able to provide all information about graduates and an overview to the Departmental Council regarding the competitiveness of graduates in the world of work. It is hoped that the tracer study system that has been developed can be continued to see how the competitiveness of graduates in improving department management. © Published under licence by IOP Publishing Ltd.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45524.9608796296},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Development of a tracer study system for graduates of the Integrated Science Department, Universitas Negeri Semarang},
  x_author = {Dewi, N.R. and Listiaji, P. and Taufiq, M. and Savitri, E.N. and Yanitama, A. and Herianti, A.P.},
  x_year = {2021},
  x_doi = {10.1088/1742-6596/1918/4/042010},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108536725&doi=10.1088%2f1742-6596%2f1918%2f4%2f042010&partnerID=40&md5=05166504442d52fc3ddeddbf42e9d069}
}
@article{Xie2022Data,
  author = {Xie, Xilin and Chu, Jun},
  title = {Data Collection and Visualization Application of VMware Workstation Virtualization Technology in College Teaching Management},
  journal = {Mathematical Problems in Engineering},
  year = {2022},
  volume = {2022},
  doi = {10.1155/2022/6984353},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135764255&doi=10.1155%2f2022%2f6984353&partnerID=40&md5=985f5280db209a7398f027588a0c31a6},
  note = {Cited by: 2; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {In this study of data collection and visualization application of VMware Workstation virtualization technology in university teaching management, data processing is performed by the SQLServer database processor using VMware Workstation virtualization technology, and finally the radial-based teaching comprehensive evaluation neural network index is used to calculate the quality of teaching management to China's teaching team is gradually balanced and the comprehensive quality of teaching team is improving; the academic atmosphere is more open; the fields and perspectives of academic research are richer; the distribution of teaching at all levels in China is more balanced, the comprehensive quality of teaching in China is improving, the system of education and scientific research in China's colleges and universities is improving, and the ecological management system of colleges and universities is improving, and so on. It is also proposed to improve the academic level and establish a strict institutional threshold for the teaching industry in colleges and universities; to effectively implement the policy of freedom and equality in academic and scholarly circles, and improve the system of teaching, principal appointment, and evaluation in higher education institutions; to insist on implementing the principle of academic fairness and optimizing the teaching evaluation system; to innovate and implement the incentive mechanism of teaching in colleges and universities according to the characteristics of talent training of teaching academic career ability; and to establish the access system of teaching career development in colleges and universities to promote academic career development and other suggestions of big data management of teaching in colleges and universities. © 2022 Xilin Xie and Jun Chu.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45524.9608449074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Data Collection and Visualization Application of VMware Workstation Virtualization Technology in College Teaching Management},
  x_author = {Xie, Xilin and Chu, Jun},
  x_journal = {Mathematical Problems in Engineering},
  x_year = {2022},
  x_volume = {2022},
  x_doi = {10.1155/2022/6984353},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135764255&doi=10.1155%2f2022%2f6984353&partnerID=40&md5=985f5280db209a7398f027588a0c31a6}
}
@article{Schrder2020Research,
  author = {Schröder, Winfried and Nickel, Stefan},
  title = {Research data management as an integral part of the research process of empirical disciplines using landscape ecology as an example},
  journal = {Data Science Journal},
  year = {2020},
  volume = {19},
  pages = {1 – 14},
  doi = {10.5334/dsj-2020-026},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090024657&doi=10.5334%2fdsj-2020-026&partnerID=40&md5=4b86030e57e6494265c6f883381e9618},
  note = {Cited by: 4; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Research Data Management (RDM) is regarded as an elementary component of empirical disciplines. Taking Landscape Ecology in Germany as an example the article demonstrates how to integrate RDM into the research design as a complement of the classic quality control and assurance in empirical research that has, so far, generally been limited to data production. Sharing and reuse of empirical data by scientists as well as thorough peer reviews of knowledge produced by empirical research requires that the problem of the research in question, the operationalized definitions of the objects of investigation and their representative selection are documented and archived as well as the methods of data production including indicators for data quality and all data collected and produced. On this basis, the extent to which this complemented design of research processes has already been realized is demonstrated by research projects of the Chair of Landscape Ecology at the University of Vechta, Germany. This study is part of a joined research project on Research Data Management funded by the German Federal Ministry of Education and Research. © 2020 The Author(s).},
  document_type = {Article},
  author_keywords = {Data life cycle; Data repository; Empirical science; Subject database; University},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45524.9608333333},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Research data management as an integral part of the research process of empirical disciplines using landscape ecology as an example},
  x_author = {Schröder, Winfried and Nickel, Stefan},
  x_journal = {Data Science Journal},
  x_year = {2020},
  x_pages = {1 – 14},
  x_volume = {19},
  x_doi = {10.5334/dsj-2020-026},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090024657&doi=10.5334%2fdsj-2020-026&partnerID=40&md5=4b86030e57e6494265c6f883381e9618}
}
@article{Zou2022Construction,
  author = {Zou, Ping and Wu, Yanjun and Zhang, Jingdan},
  title = {Construction and Application of Psychological Quality Assessment Model for College Students Based on Extensive Data Analysis},
  journal = {Occupational Therapy International},
  year = {2022},
  volume = {2022},
  doi = {10.1155/2022/7982808},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131202040&doi=10.1155%2f2022%2f7982808&partnerID=40&md5=18ab5a1182c1812a1ac9371914b00f1f},
  note = {Cited by: 0; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {This paper constructs a platform framework for extensive data analysis of college students' psychological quality with the help of the thinking mode of big data and related technologies and proposes the construction principles, data sources, data processing methods, data platform construction, and platform application of big data analysis platform for college students' psychological quality assessment. This paper combines the application methods of big data technology, collects the management data related to the psychological quality assessment of college students, saves them into the system database with certain storage logic, and realizes the function of psychological quality assessment through the design of selected psychological quality assessment data, data management and data resource management and other parts based on the data results of extensive data analysis. This study provides some insights into the psychological quality assessment of college students. The strength of association between the variables of psychological quality assessment of college students changes over time, but the overall psychological structure is more stable. This stable psychological structure characteristic is conducive to constructing the policy of constant psychological education in large universities. © 2022 Ping Zou et al.},
  document_type = {Retracted},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45524.9147685185},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Construction and Application of Psychological Quality Assessment Model for College Students Based on Extensive Data Analysis},
  x_author = {Zou, Ping and Wu, Yanjun and Zhang, Jingdan},
  x_journal = {Occupational Therapy International},
  x_year = {2022},
  x_volume = {2022},
  x_doi = {10.1155/2022/7982808},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131202040&doi=10.1155%2f2022%2f7982808&partnerID=40&md5=18ab5a1182c1812a1ac9371914b00f1f}
}
@inproceedings{Dharmalingam2023A,
  author = {Dharmalingam, Ramalingam and Baskar, Sowmya and Ataullah, Sara Tabassum},
  title = {A Framework for Predicting the Students at Risk Using AI: A Case Study},
  journal = {Proceedings - Frontiers in Education Conference, FIE},
  booktitle = {Proceedings - Frontiers in Education Conference, FIE},
  year = {2023},
  doi = {10.1109/FIE58773.2023.10343232},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182983127&doi=10.1109%2fFIE58773.2023.10343232&partnerID=40&md5=cb50152696f1e5bbfdb45fb34e7a8275},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {This paper proposes a framework for predicting students who are at the risk of poor academic performance and supports slow learners in higher education institutions (HEIs). Despite numerous studies identifying various circumstances that can lead to a student being at risk, disengagement and slow learning are the major factors that contribute to this issue. Most HEIs aim to provide support to these students after they fall into the students-at-risk (SAR) category which ends as a reactive approach. However, this paper aims to take a proactive approach by developing a framework that can monitor student learning and predict their performance well before they fall into the SAR category. To develop this framework, the authors conducted a case study among the undergraduate students offered in a HEI at Oman. These degrees are awarded by the UK University which is classified as level 6 by the Frameworks for Higher Education Qualifications of UK Degree (FHEQ), Quality Assurance Agency (QAA), UK. The module for this study is selected based on the learning experiences of students registered in the undergraduate courses over the last three years, higher number of registrations and higher number of at-risk students. The proposed framework can be embedded into the existing learning management system (LMS) to predict the future progression of students based on their weekly performance in the classroom and periodic completion of in-class activities. This model also promotes active participation in the learning process as an additional benefit. © 2023 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45524.826412037},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {A Framework for Predicting the Students at Risk Using AI: A Case Study},
  x_author = {Dharmalingam, Ramalingam and Baskar, Sowmya and Ataullah, Sara Tabassum},
  x_year = {2023},
  x_doi = {10.1109/FIE58773.2023.10343232},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182983127&doi=10.1109%2fFIE58773.2023.10343232&partnerID=40&md5=cb50152696f1e5bbfdb45fb34e7a8275}
}
@article{Jawwad2024A,
  author = {Jawwad, Abdul Kareem Abdul and Turab, Nidal and Al-Mahadin, Ghayth and Owida, Hamza Abu and Al-Nabulsi, Jamal},
  title = {A perspective on smart universities as being downsized smart cities: a technological view of internet of thing and big data},
  journal = {Indonesian Journal of Electrical Engineering and Computer Science},
  year = {2024},
  volume = {35},
  pages = {1162 – 1170},
  doi = {10.11591/ijeecs.v35.i2.pp1162-1170},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195088124&doi=10.11591%2fijeecs.v35.i2.pp1162-1170&partnerID=40&md5=c88b7c24c7b9e5223b120217950aae5d},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {The integration of internet of things (IoT) and big data technologies is transforming the overall perspective of managing various sectors of modern life; with higher educational sectors being no exception of this transformation. This paper explores the idea of a “smart university” as an extension of the overarching “smart city” framework, emphasizing the blending of IoT and big data technologies within higher education institutions. The study investigates the incorporation of IoT technologies throughout university campuses, including intelligent classrooms, smart infrastructure, and device networking. Moreover, the paper delves into the substantial role played by big data analytics in processing and extracting meaningful insights from extensive data generated by IoT devices in a Smart University. The use of predictive analytics, machine learning algorithms, and data-driven decision-making contributes to personalized learning experiences, adaptive campus management, and proactive maintenance of university facilities. Furthermore, this paper not only emphasizes the potential benefits of deploying IoT and big data in a university setting but also addresses challenges related to security, privacy, and ethical considerations. By embracing a comprehensive approach to technology integration, universities can leverage the capabilities of IoT and big data to establish intelligent, interconnected, and flexible educational environments that align with the broader vision of a smart city. © 2024 Institute of Advanced Engineering and Science. All rights reserved.},
  document_type = {Review},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45525.069224537},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {A perspective on smart universities as being downsized smart cities: a technological view of internet of thing and big data},
  x_author = {Jawwad, Abdul Kareem Abdul and Turab, Nidal and Al-Mahadin, Ghayth and Owida, Hamza Abu and Al-Nabulsi, Jamal},
  x_journal = {Indonesian Journal of Electrical Engineering and Computer Science},
  x_year = {2024},
  x_pages = {1162 – 1170},
  x_volume = {35},
  x_doi = {10.11591/ijeecs.v35.i2.pp1162-1170},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195088124&doi=10.11591%2fijeecs.v35.i2.pp1162-1170&partnerID=40&md5=c88b7c24c7b9e5223b120217950aae5d}
}
@inproceedings{Tang2019An,
  author = {Tang, Mei-Huei and Wang, Wen-Li},
  title = {An Assessment System to Support Multi-Level Program Outcomes Evaluation Using Blackboard},
  journal = {Proceedings - Frontiers in Education Conference, FIE},
  booktitle = {Proceedings - Frontiers in Education Conference, FIE},
  year = {2019},
  volume = {2019-October},
  doi = {10.1109/FIE43999.2019.9028371},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082457228&doi=10.1109%2fFIE43999.2019.9028371&partnerID=40&md5=cde700cc967ac7a41bd45477ce3c7866},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {This is an Innovative Practice Full Paper. Our department has three computing programs seeking accreditations from ABET CAC and EAC. With new ABET criteria, we adopted performance indicators (PIs) for our two levels of outcomes, devised to map to the general and program specific criteria of the two commissions. The Blackboard is our university's mandated learning management system (LMS). In order to automatically create outcomes achievement reports for students in each major, we developed a new process and an ABET tool to integrate with Blackboard. The new process utilizes Blackboard to create PI rubrics and directly assess student work with rubrics. However, direct download of assessed rubrics data is not available in Blackboard, so that a third-party tool is used to export rubrics data. Achievement reports for students in a single major are desired for ABET outcomes and our two-level outcomes. Since student major information is not available in Blackboard, the ABET tool integrates data from Blackboard and another university proprietary system to distinguish students in the same major and creates a variety of short-term and long-term reports for our ABET continuous quality improvements. The introduced process and ABET tool is applicable to other departments using the Blackboard LMS. © 2019 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45524.8245717593},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {An Assessment System to Support Multi-Level Program Outcomes Evaluation Using Blackboard},
  x_author = {Tang, Mei-Huei and Wang, Wen-Li},
  x_year = {2019},
  x_doi = {10.1109/FIE43999.2019.9028371},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082457228&doi=10.1109%2fFIE43999.2019.9028371&partnerID=40&md5=cde700cc967ac7a41bd45477ce3c7866}
}
@inproceedings{Sharp2020Ethics,
  author = {Sharp, Kayeleigh and Woodward, Belle and Martin, Nancy},
  title = {Ethics Assessed: An Interdisciplinary Effort to Develop Standards for Automated Learning Assessment in IT Courses},
  journal = {SIGITE 2020 - Proceedings of the 21st Annual Conference on Information Technology Education},
  booktitle = {SIGITE 2020 - Proceedings of the 21st Annual Conference on Information Technology Education},
  year = {2020},
  pages = {1 – 6},
  doi = {10.1145/3368308.3415371},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094895257&doi=10.1145%2f3368308.3415371&partnerID=40&md5=b5c3b4253831da4d7a8e1f46e982d97b},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {To prepare for ABET accreditation in the Bachelor of Science in Information Technology program, educational objectives were updated with input from constituency groups and student learning outcomes were revised to align with those required by the ABET criteria. This paper describes the project and process that IT program faculty, in collaboration with an instructional developer, initiated to improve assessment and reporting under ABET criteria. This work-in-progress, although embedded within the university-wide learning management system, is of broader applicability, functioning as a semi-automated tool for standardizing evaluation of learning outcomes in other IT programs as well. © 2020 ACM.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45524.8227199074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Ethics Assessed: An Interdisciplinary Effort to Develop Standards for Automated Learning Assessment in IT Courses},
  x_author = {Sharp, Kayeleigh and Woodward, Belle and Martin, Nancy},
  x_year = {2020},
  x_pages = {1 – 6},
  x_doi = {10.1145/3368308.3415371},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094895257&doi=10.1145%2f3368308.3415371&partnerID=40&md5=b5c3b4253831da4d7a8e1f46e982d97b}
}
@inproceedings{Wang2020Characteristics,
  author = {Wang, Xuan},
  title = {Characteristics and Application Ways of Online Education of Ideological and Political Theory Courses in Universities from the Perspective of Big Data},
  journal = {Lecture Notes in Electrical Engineering},
  booktitle = {Lecture Notes in Electrical Engineering},
  year = {2020},
  volume = {551 LNEE},
  pages = {1626 – 1632},
  doi = {10.1007/978-981-15-3250-4_215},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082326257&doi=10.1007%2f978-981-15-3250-4_215&partnerID=40&md5=7ffc3742aed3931f80ea70e941798124},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {With the rapid development of big data technology, the online education of ideological and political theory courses in colleges and universities has entered the era of big data from the Internet age, and reflects the distinctive characteristics of individualization, intelligence and science. However, many college ideological and political theory teachers feel helpless about the collection of unstructured data, and are unfamiliar with the endless stream of big data analysis techniques and analysis methods, and lack of attention to the data quality management of big data. Therefore, we actively adapt to the requirements of the era of big data, establish online education big data for ideological and political theory courses in colleges, use intelligent data technology to build an intelligent online education platform, and formulate data management regulations to ensure data on online education of ideological and political theory courses in colleges and universities in the era of big dataquality. © 2020, Springer Nature Singapore Pte Ltd.},
  document_type = {Conference paper},
  author_keywords = {College ideological and political education; IntelligentScientific; Online education; Personalise},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45524.8178356482},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Characteristics and Application Ways of Online Education of Ideological and Political Theory Courses in Universities from the Perspective of Big Data},
  x_author = {Wang, Xuan},
  x_year = {2020},
  x_pages = {1626 – 1632},
  x_doi = {10.1007/978-981-15-3250-4_215},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082326257&doi=10.1007%2f978-981-15-3250-4_215&partnerID=40&md5=7ffc3742aed3931f80ea70e941798124}
}
@article{Fan2022The,
  author = {Fan, Ping and Zhang, Shu and Wang, Weiya and Yang, Zongze and Tan, Weiwei and Li, Shujun and Zhu, Chenxing and Hu, Dan and Zhou, Xinran and Tian, Zixuan and Wang, Yaxi and Liu, Fang and Huang, Wei and Chen, Lei},
  title = {The design and implementation of natural population cohort study Biobank: A multiple-center project cooperation with medical consortia in Southwest China},
  journal = {Frontiers in Public Health},
  year = {2022},
  volume = {10},
  doi = {10.3389/fpubh.2022.996169},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144039549&doi=10.3389%2ffpubh.2022.996169&partnerID=40&md5=15b08547bade81b80ea0f21f82dc9f18},
  note = {Cited by: 5; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Objective: The West China Hospital of Sichuan University collaborated with regional medical consortia in Sichuan Province to launch a natural population cohort study (NPCS) to investigate the health status of residents and collect public health data in southwest China. Methods: Up to 80,000 participants will be enrolled by the NPCS from 11 regional medical consortia over five years. Individuals are invited to visit one of 11 participating medical consortia to fill out questionnaires, receive a free health exam, and donate biospecimens upon enrolment. All participating medical facilities adhered to standard operating procedures for collecting and processing biospecimens to ensure uniformity (serum, lithium heparinized plasma, ethylene diamine tetraacetie acid plasma, and buffy coat). The Electronic Data Capture System, Picture Archiving and Communication System, Laboratory Information Management System, Biospecimen Quality Control System, Biobank Information Management System, and will be used to sort and classify clinical indices, imaging data, laboratory parameters, pre-analytical variables, and biospecimen information, respectively. All quality assurance and quality control procedures in the NPCS biobank adhered to the “DAIDS Guidelines for Good Clinical Laboratory Practice Standards”. This project will integrate high-dimensional multi-omics data, laboratory data, clinical data, questionnaire data, and environmental risk factors. Results: An estimated 2,240,000 aliquots of the sample will be stored by the end of the study. These samples are linked with comprehensively collected clinical indices, imaging data, and laboratory parameters. Big data analysis can be implemented to create predictive algorithms, explore pathogenesis mechanisms, uncover potential biomarkers, and provide information on public health. Conclusions: NPCS will provide an integrative approach to research risk factors and pathogenesis of major chronic or endemic diseases in Sichuan Province and provide key scientific evidence to support the formulation of health management policies in China. Copyright © 2022 Fan, Zhang, Wang, Yang, Tan, Li, Zhu, Hu, Zhou, Tian, Wang, Liu, Huang and Chen.},
  document_type = {Review},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.1069212963},
  updated_at = {45522.1071180556},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {The design and implementation of natural population cohort study Biobank: A multiple-center project cooperation with medical consortia in Southwest China},
  x_author = {Fan, Ping and Zhang, Shu and Wang, Weiya and Yang, Zongze and Tan, Weiwei and Li, Shujun and Zhu, Chenxing and Hu, Dan and Zhou, Xinran and Tian, Zixuan and Wang, Yaxi and Liu, Fang and Huang, Wei and Chen, Lei},
  x_journal = {Frontiers in Public Health},
  x_year = {2022},
  x_volume = {10},
  x_doi = {10.3389/fpubh.2022.996169},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144039549&doi=10.3389%2ffpubh.2022.996169&partnerID=40&md5=15b08547bade81b80ea0f21f82dc9f18}
}
@inproceedings{Siyao2021An,
  author = {Siyao, G.U.O. and Bin, X.I.E.},
  title = {An Education Management Assessment Model Based on Information Control Theory},
  journal = {Proceedings - 2021 13th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2021},
  booktitle = {Proceedings - 2021 13th International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2021},
  year = {2021},
  pages = {531 – 534},
  doi = {10.1109/ICMTMA52658.2021.00122},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105384719&doi=10.1109%2fICMTMA52658.2021.00122&partnerID=40&md5=49ff83631fa99babfc97a3454417540b},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {To solve the problem of teaching quality evaluation and improve the quality of education management in Colleges and universities, this paper studies the education management quality in Colleges and universities from the perspective of information cybernetics. Firstly, the overall structure of the teaching information management system and its key modules are introduced. Then it focuses on the structure of quality control system, including the role of Buchberger algorithm in education information management mechanism, teaching quality supervision mechanism, learning quality incentive mechanism and quality control process, etc. The simulation results of department MATLAB show that the key to quality control is to improve the education management system. The network model can better reflect the quality of higher vocational practice teaching, and the predicted value of the system is in good agreement with the evaluation target value, which basically reflects the regular requirements of teaching quality management. © 2021 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.1069212963},
  updated_at = {45522.1103703704},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {An Education Management Assessment Model Based on Information Control Theory},
  x_author = {Siyao, G.U.O. and Bin, X.I.E.},
  x_year = {2021},
  x_pages = {531 – 534},
  x_doi = {10.1109/ICMTMA52658.2021.00122},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105384719&doi=10.1109%2fICMTMA52658.2021.00122&partnerID=40&md5=49ff83631fa99babfc97a3454417540b}
}
@inproceedings{Ye2020Research,
  author = {Ye, Yuan},
  title = {Research on University Personnel Management Information System Based on Database},
  journal = {ACM International Conference Proceeding Series},
  booktitle = {ACM International Conference Proceeding Series},
  year = {2020},
  pages = {63 – 66},
  doi = {10.1145/3402569.3409037},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090907143&doi=10.1145%2f3402569.3409037&partnerID=40&md5=b4fd80282c2b5c8c862ac672b004e87c},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {In the context of the continuous improvement of computer technology, information management has begun to be implemented in various industries. Under the guidance of information technology, ordinary colleges and universities have quickly established information management systems. In recent years, with the continuous expansion of the scale of universities And the enhancement of the teaching staff, how to effectively improve the level of human resources management is a problem that colleges and universities need to focus on. This paper focuses on the design of database-based college personnel management information systems based on the current situation of college personnel management, as follows. © 2020 ACM.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.1069212963},
  updated_at = {45522.1117013889},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Research on University Personnel Management Information System Based on Database},
  x_author = {Ye, Yuan},
  x_year = {2020},
  x_pages = {63 – 66},
  x_doi = {10.1145/3402569.3409037},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090907143&doi=10.1145%2f3402569.3409037&partnerID=40&md5=b4fd80282c2b5c8c862ac672b004e87c}
}
@inproceedings{Meleg2020Towards,
  author = {Meleg, Ágnes and Vas, Réka},
  title = {Towards Evidence-Based, Data-Driven Thinking in Higher Education},
  journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year = {2020},
  volume = {12394 LNCS},
  pages = {135 – 144},
  doi = {10.1007/978-3-030-58957-8_10},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091327866&doi=10.1007%2f978-3-030-58957-8_10&partnerID=40&md5=9add9018af778a16c71fdc36b25fc43d},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {Decisions in higher education institutions may have an impact on several stakeholders at the same time (students, academic personnel, teaching and non-teaching staff), for this reason, it is crucial to try to make the best-informed decision possible. The evidence-based practice is a method for decision-making processes, using evidence from multiple sources in a conscientious, explicit and judicious manner. This practice can be leveraged in higher education; however, its implementation and adoption may take a long time and demand a lot of effort. The aim of this paper is to motivate higher education institutions to follow evidence-based, data-driven thinking. We present the evidence-based practice – in general and from the point of view of higher education –, give guidance on how an institution can start applying the method in decision-making or going further if it is on the journey, and encourage data-driven thinking pointing out the different areas where data analytics can be beneficial. © 2020, Springer Nature Switzerland AG.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.1075462963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Towards Evidence-Based, Data-Driven Thinking in Higher Education},
  x_author = {Meleg, Ágnes and Vas, Réka},
  x_year = {2020},
  x_pages = {135 – 144},
  x_doi = {10.1007/978-3-030-58957-8_10},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091327866&doi=10.1007%2f978-3-030-58957-8_10&partnerID=40&md5=9add9018af778a16c71fdc36b25fc43d}
}
@incollection{Alromaihi2022The,
  author = {Alromaihi, Ali Ateya and Hamdan, Allam},
  title = {The Impact of Digitizing Business Education on the Quality of Education During COVID-19 Pandemic: The Role of International Accreditation Bodies},
  journal = {Studies in Computational Intelligence},
  booktitle = {Studies in Computational Intelligence},
  year = {2022},
  volume = {1037},
  pages = {341 – 358},
  doi = {10.1007/978-3-030-99000-8_19},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132821358&doi=10.1007%2f978-3-030-99000-8_19&partnerID=40&md5=52314037ec9b1eb7088afc17a6798d78},
  note = {Cited by: 3},
  source = {Scopus},
  abstract = {The role of business schools in delivering social and economic value for a nation is now more important than ever. After completion of the degree requirements, business schools graduate their students to join the labor market accordingly to fuel the economy. Further, this underlines the importance of business education. At the end of 2019, COVID-19 erupted the educational sector as well as it erupted other major sectors in the world. This forced higher educational institutions (HEIs) to switch to digital learning which was accompanied with many challenges. Learning Management Systems (LMS), evaluation and interaction have an impact of the quality of education in a digital setting classroom. Therefore, international accreditation bodies are responsible during the time of the pandemic to ensure that HEIs provide education of quality as it was pre-pandemic and to provide full support to HEIs to overcome challenges accompanied with ensuring quality in digital learning. Future research needs to conducted to assess to what extent business tertiary education programs graduates reflected the learning outcomes and skills acquired at their workplaces. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
  document_type = {Book chapter},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0763657407},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {The Impact of Digitizing Business Education on the Quality of Education During COVID-19 Pandemic: The Role of International Accreditation Bodies},
  x_author = {Alromaihi, Ali Ateya and Hamdan, Allam},
  x_year = {2022},
  x_pages = {341 – 358},
  x_doi = {10.1007/978-3-030-99000-8_19},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132821358&doi=10.1007%2f978-3-030-99000-8_19&partnerID=40&md5=52314037ec9b1eb7088afc17a6798d78}
}
@inproceedings{Oliveira2023Mobile,
  author = {Oliveira, Pedro Filipe and Matos, Paulo},
  title = {Mobile Integration for Sakai LMS and Class Schedule Platform at an Higher Education Institution},
  journal = {9th International Conference on Engineering and Emerging Technology, ICEET 2023},
  booktitle = {9th International Conference on Engineering and Emerging Technology, ICEET 2023},
  year = {2023},
  doi = {10.1109/ICEET60227.2023.10525775},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194049520&doi=10.1109%2fICEET60227.2023.10525775&partnerID=40&md5=620c0984dbdf7ca0efa2059b96b3f77d},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {In the age of mobile technology, the demand for seamless access to educational resources has become essential. This work presents a project the integration of a Learning Management System (LMS) and a class schedule platform of a higher education institution, developing for that a mobile application aimed at integrating with the LMS used at the institution. The application seeks to enhance the learning experience by providing students, instructors, and administrators with anytime, anywhere access to the LMS core functionalities. The proposed mobile application will serve as a comprehensive extension to the LMS, extending its capabilities to mobile devices such as smartphones and tablets. The development process was done with continuous feedback from educators and students, with different testing and quality assurance measures implemented to ensure the security, reliability, and performance. © 2023 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0671990741},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Mobile Integration for Sakai LMS and Class Schedule Platform at an Higher Education Institution},
  x_author = {Oliveira, Pedro Filipe and Matos, Paulo},
  x_year = {2023},
  x_doi = {10.1109/ICEET60227.2023.10525775},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194049520&doi=10.1109%2fICEET60227.2023.10525775&partnerID=40&md5=620c0984dbdf7ca0efa2059b96b3f77d}
}
@inproceedings{Jesus-Silva2023Information,
  author = {Jesus-Silva, Natacha and Carvalho, Liliana and Cardoso, Abílio},
  title = {Information Technologies in Quality Management in Higher Education},
  journal = {Proceedings - JICV 2023: 13th International Conference on Virtual Campus},
  booktitle = {Proceedings - JICV 2023: 13th International Conference on Virtual Campus},
  year = {2023},
  doi = {10.1109/JICV59748.2023.10565645},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197790254&doi=10.1109%2fJICV59748.2023.10565645&partnerID=40&md5=d292e34e173047930b14c4378cf6a45c},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {The use of Information Technologies (IT) has played an increasingly important role in quality management in higher education. This article examines the impact of IT on improving quality management processes and promoting academic excellence in higher education institutions. IT offers a range of tools and solutions that enable higher education institutions to collect, analyze, and interpret relevant data for assessing and monitoring quality in higher education. Through learning management systems, online assessment platforms, and data analysis software, institutions can obtain accurate and real-time insights into student performance, teaching effectiveness, and student satisfaction. Furthermore, IT enables the implementation of quality management systems based on international standards, such as ISO 9001:2015, providing a structured framework for continuous improvement in higher education processes. These systems can facilitate the documentation of policies and procedures, the monitoring of performance indicators, and the conduct of internal and external audits, contributing to quality assurance and compliance with established standards. IT also plays a crucial role in communication and collaboration among the various stakeholders involved in quality management in higher education. Through online portals and platforms, students, faculty, administrators, and staff can share information, exchange feedback, and participate in decision-making processes, promoting a more participatory and transparent approach to quality management. However, it is important to emphasize that the effective implementation of IT in quality management requires a strategic approach and an institutional culture supportive of innovation. Higher education institutions must invest in suitable technological infrastructure, provide training and support to users, and ensure data security and privacy. IT plays a fundamental role in quality management in higher education by providing tools and solutions that contribute to the improvement of higher education processes, compliance with international standards, and effective communication among stakeholders. The strategic adoption of IT can drive academic excellence and student satisfaction, fostering a culture of quality in higher education institutions. ©2023 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0574074074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Information Technologies in Quality Management in Higher Education},
  x_author = {Jesus-Silva, Natacha and Carvalho, Liliana and Cardoso, Abílio},
  x_year = {2023},
  x_doi = {10.1109/JICV59748.2023.10565645},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197790254&doi=10.1109%2fJICV59748.2023.10565645&partnerID=40&md5=d292e34e173047930b14c4378cf6a45c}
}
@article{Abdallah2019Factors,
  author = {Abdallah, Nahel A O and Ahlan, Abd Rahman and Abdullah, Odeh},
  title = {Factors affecting instructors’ adoption of learning management systems: The case of palestine},
  journal = {Journal of Theoretical and Applied Information Technology},
  year = {2019},
  volume = {97},
  pages = {533 – 550},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061367693&partnerID=40&md5=301ce50904b70c8bd60a4dc780e7083f},
  note = {Cited by: 6},
  source = {Scopus},
  abstract = {Although web-based learning systems are emerging as a useful tool for facilitating teaching and learning activities, instructors’ use of learning management systems in higher educational institutions is still limited. In this context, this empirical research investigates factors that can potentially contribute to learning management system adoption in Palestinian institutions of higher education. In addition, the study also developed an integrated model of instructor adoption of learning management systems by incorporating existing literature and multiple empirically verified theories, including the technology acceptance model and DeLone and McLean’s information system success model. Survey data collected from 365 university instructors were examined to evaluate the influence of various constructs on lecturers’ adoption of learning management systems using structural equation modeling. The research results show that perceived usefulness, perceived ease of use, system quality, information quality, service quality, management support, resistant to change, personnel IT innovativeness, attitude toward the system, computer efficacy and subjective norms influence instructors’ intention to use learning management systems. Findings of this research will be valuable for academicians and practitioners in implementation, management and continuous improvement of learning management systems. © 2005 - ongoing JATIT & LLS.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0520717593},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Factors affecting instructors’ adoption of learning management systems: The case of palestine},
  x_author = {Abdallah, Nahel A O and Ahlan, Abd Rahman and Abdullah, Odeh},
  x_journal = {Journal of Theoretical and Applied Information Technology},
  x_year = {2019},
  x_pages = {533 – 550},
  x_volume = {97},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061367693&partnerID=40&md5=301ce50904b70c8bd60a4dc780e7083f}
}
@inproceedings{Arqoub2022Extending,
  author = {Arqoub, Muhammad Abu and El-Khalili, Nuha and Hasan, Mohammad Al-Sheikh and Banna, Abed Alkarim},
  title = {Extending Learning Management System for Learning Analytics},
  journal = {2022 International Conference on Business Analytics for Technology and Security, ICBATS 2022},
  booktitle = {2022 International Conference on Business Analytics for Technology and Security, ICBATS 2022},
  year = {2022},
  doi = {10.1109/ICBATS54253.2022.9759070},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129573198&doi=10.1109%2fICBATS54253.2022.9759070&partnerID=40&md5=3f9acb9f110a5022ce2e18f24788c785},
  note = {Cited by: 4},
  source = {Scopus},
  abstract = {Higher education institutions (HEI) recognize the value of providing resources to evaluate data relevant to students' learning outcomes in the era of data science. The appraisal and assessment processes of students are the foundation for enhancing the level of teaching and learning in many HEI. Learning Management Systems (LMS) provide valuable data, but usually they need further processing to interpret this data in a manner that aligns with the principles of quality assurance and accreditation bodies. Learning analytics is concerned with the analysis of data collected from LMS. This paper presents a framework for extending the open-source Moodle learning management system to evaluate the achievement of the academic programs objectives and students' outcomes in order to improve the teaching and learning processes and to leverage decision making related to educational management. The proposed framework relays in two integrated systems: Customized Moodle system for calculating course and student's outcomes and a backend system for calculating learning outcomes at the program level and generating reports. © 2022 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0513425926},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Extending Learning Management System for Learning Analytics},
  x_author = {Arqoub, Muhammad Abu and El-Khalili, Nuha and Hasan, Mohammad Al-Sheikh and Banna, Abed Alkarim},
  x_year = {2022},
  x_doi = {10.1109/ICBATS54253.2022.9759070},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129573198&doi=10.1109%2fICBATS54253.2022.9759070&partnerID=40&md5=3f9acb9f110a5022ce2e18f24788c785}
}
@incollection{Koh2023Data,
  author = {Koh, Szekee and Lee, Hwee Hoon and Perdana, Arif},
  title = {Data Analytics in an Undergraduate Accountancy Programme: The Spaced Retrieval Method},
  journal = {Handbook of Big Data and Analytics in Accounting and Auditing},
  booktitle = {Handbook of Big Data and Analytics in Accounting and Auditing},
  year = {2023},
  pages = {415 – 437},
  doi = {10.1007/978-981-19-4460-4_18},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160724815&doi=10.1007%2f978-981-19-4460-4_18&partnerID=40&md5=80202da36da11ec43582c3dd64d85abe},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {The accountancy profession is now challenged by the pace of technological advancement and the ubiquitous digitalization leading to data explosion and advanced analytics. Digital technology is also replacing mundane tasks and manual work which accountants undertook in the past. Besides data analytics skills, accountants now need to possess critical thinking skills, knowledge of data science tools and communication skills. Consequently, equipping accounting professionals with data analytics skills is critical. Professional accounting bodies address this need by emphasizing continuing professional education and developing guidelines for data analytics. At the same time, higher education institutions are taking the initiative to integrate data analytics into their accounting curricula. However, given the numerous professional accreditation requirements that higher education institutions must fulfill, a big challenge remains for any institution to insert rigorous data analytics training into their existing curriculum. This chapter describes the development of a data analytics roadmap for undergraduate accountancy education—from reviewing our academic and industry data analytics curricula and evaluating existing modules that could be integrated with relevant data analytics topics, to seeking feedback from industry partners regarding the curriculum model we had developed. In delivering our curricula across the levels of study, a spaced retrieval teaching technique was opted to ensure that students could progressively develop data analytics competencies. © The Editor(s) (if applicable) and The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2023.},
  document_type = {Book chapter},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0443981482},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Data Analytics in an Undergraduate Accountancy Programme: The Spaced Retrieval Method},
  x_author = {Koh, Szekee and Lee, Hwee Hoon and Perdana, Arif},
  x_year = {2023},
  x_pages = {415 – 437},
  x_doi = {10.1007/978-981-19-4460-4_18},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160724815&doi=10.1007%2f978-981-19-4460-4_18&partnerID=40&md5=80202da36da11ec43582c3dd64d85abe}
}
@inproceedings{Liu2023Construction,
  author = {Liu, Yue and Ren, Tiannan},
  title = {Construction of an Intelligent Student Management and Evaluation Information Platform Based on Data Evaluation Algorithms},
  journal = {2023 International Conference on Data Science and Network Security, ICDSNS 2023},
  booktitle = {2023 International Conference on Data Science and Network Security, ICDSNS 2023},
  year = {2023},
  doi = {10.1109/ICDSNS58469.2023.10245536},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173625467&doi=10.1109%2fICDSNS58469.2023.10245536&partnerID=40&md5=6300fa9f6b769655fb294f6011e72765},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {With the development of higher education, the target demand for student management and evaluation information systems is constantly increasing. Web mining technology based on computer data analysis algorithms can efficiently respond to the increasingly intelligent interactive information management platform. How to improve the quality of system database management is a key issue that urgently needs to be addressed in the entire platform design. This paper examined the use of Web mining technology to build a student information management platform, aiming to improve the processing efficiency of the system and reduce user waiting time. Through the information management platform and its database design and simulation experiment analysis, this paper used the Web mining technology based on data analysis algorithm and combined with the priority ranking of the information management platform function modules. Based on the data results, the following conclusions could be drawn: Against the backdrop of the continuous improvement in the development speed of information management technology, information management systems that used web mining algorithms had higher system processing efficiency in various functional modules than those that did not use web mining technology, with an average improvement of 31%. Meanwhile, systems that used web mining technology had lower user waiting times compared to those that did not use web mining technology, with an average reduction of 2.2 minutes. This indicated that an information management platform based on web mining technology had a higher overall system processing efficiency and lower user waiting time. © 2023 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0430208333},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Construction of an Intelligent Student Management and Evaluation Information Platform Based on Data Evaluation Algorithms},
  x_author = {Liu, Yue and Ren, Tiannan},
  x_year = {2023},
  x_doi = {10.1109/ICDSNS58469.2023.10245536},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173625467&doi=10.1109%2fICDSNS58469.2023.10245536&partnerID=40&md5=6300fa9f6b769655fb294f6011e72765}
}
@article{Yang2020Big,
  author = {Yang, Eunhwa and Bayapu, Ipsitha},
  title = {Big Data analytics and facilities management: a case study},
  journal = {Facilities},
  year = {2020},
  volume = {38},
  pages = {268 – 281},
  doi = {10.1108/F-01-2019-0007},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074390609&doi=10.1108%2fF-01-2019-0007&partnerID=40&md5=f2abbee7186e7327a4ab2aae9ec8a763},
  note = {Cited by: 18},
  source = {Scopus},
  abstract = {Purpose: This paper aims to investigate data elements, transfer, gaps and the challenges to implement data analytics in facilities management. The goal is not to search for a definite solution but to gather necessary information, understand the challenges faced and develop a proper foundation for future study. Design/methodology/approach: This paper used a case study approach with a qualitative method. The case of the Georgia Institute of Technology was investigated by having a semi-structured interview with six relevant personnel. The recorded interview content was analyzed and presented based on six work processes. Findings: Higher education institutions are taking initiatives but facing challenges in implementing data analytics. There were 36 software tools used to manage different aspects of facilities at Georgia Tech. Identified data elements and data processing indicated that major challenges for data-driven decision-making were inconsistency in data input and structure, the issue of interoperability among different software tools and a lack of software training. Research limitations/implications: The authors only interviewed individuals who work closely with data gathering, transfer and processing. Thus, the study did not explore the perspective of individuals in the leadership level or the user group level. Originality/value: Facilities management departments in higher education institutions perform multi-disciplinary functions, including building automation, continuous commissioning and preventative maintenance, all of which are data- and technology-intensive. Managing this overwhelming amount of information is often a challenge, but well-planned data analytics can be used to draw keen insights about any aspect of facilities management and operations and assist in evidence-based decision-making. © 2019, Emerald Publishing Limited.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0382986111},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Big Data analytics and facilities management: a case study},
  x_author = {Yang, Eunhwa and Bayapu, Ipsitha},
  x_journal = {Facilities},
  x_year = {2020},
  x_pages = {268 – 281},
  x_volume = {38},
  x_doi = {10.1108/F-01-2019-0007},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074390609&doi=10.1108%2fF-01-2019-0007&partnerID=40&md5=f2abbee7186e7327a4ab2aae9ec8a763}
}
@inproceedings{anon202027th,
  title = {27th European Conference on Systems, Software and Services Process Improvement, EuroSPI 2020},
  journal = {Communications in Computer and Information Science},
  booktitle = {Communications in Computer and Information Science},
  year = {2020},
  volume = {1251 CCIS},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089744822&partnerID=40&md5=57c6d582e9f938d2397d263d91907432},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {The proceedings contain 63 papers. The special focus in this conference is on Systems, Software and Services Process Improvement. The topics include: A Concept for Virtual Reality Based Industrial Maintenance Training Preparation; analysis of Improvement Potentials in Current Virtual Reality Applications by Using Different Ways of Locomotion; integrating Stakeholder and Social Network Analysis into Innovation Project Management; adaptive Predictive Energy Management Strategy Example for Electric Vehicle Long Distance Trip; toolbox of Methods for the Digital Business Transformation: A Blueprint for the Education and Training of Service Engineers; spin-Off Strategies of Established Companies Due to Digitalization and Disruption; democratizing Innovation in the Digital Era: Empowering Innovation Agents for Driving the Change; educating Future Engineers – Meeting Challenges at Secondary School and University; social and Human Factor Classification of Influence in Productivity in Software Development Teams; an Automated Pipeline for the Generation of Quality Reports; a Barbell Strategy-oriented Regulatory Framework and Compliance Management; An Interpretation and Implementation of Automotive Hardware SPICE; Application of Mutually Integrated International Standards (A-SPICE PAM 3.1 & IATF 16949/2016); metrics and Dashboard for Level 2 – Experience; forecasting Completion Deadlines in Software Testing; experience with the Performance of Online Distributed Assessments – Using Advanced Infrastructure; towards a Model Based Process Assessment for Data Analytics: An Exploratory Case Study; employability Assessment of Agile Methods for Software Quality: An Empirical Case Study; building an Environment for Agility: A Releasable Inventory Tool; A Systematical Approach for “System Item Integration and Testing” in Context of ISO 26262; a Framework for Automated Testing.},
  document_type = {Conference review},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0304861111},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {27th European Conference on Systems, Software and Services Process Improvement, EuroSPI 2020},
  x_year = {2020},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089744822&partnerID=40&md5=57c6d582e9f938d2397d263d91907432}
}
@inproceedings{Jie2023The,
  author = {Jie, Jiang and Mohammadi, Alireza and Jantan, Amer Hamzah and Goyal, S.B. and He, Sun},
  title = {The Moderating Influence of Big Data Analytics Capabilities on the Relationship Between Organizational Culture and Management Effectiveness at Higher Education Institutions in Sichuan, China},
  journal = {Lecture Notes in Networks and Systems},
  booktitle = {Lecture Notes in Networks and Systems},
  year = {2023},
  volume = {726 LNNS},
  pages = {1 – 11},
  doi = {10.1007/978-981-99-3716-5_1},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174439789&doi=10.1007%2f978-981-99-3716-5_1&partnerID=40&md5=7e1643a30f20753e1814bb5236940fd4},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {For higher education institutions, their management effectiveness has long been hindered by problems like low work efficiency caused by ineffective information transmission. This study investigates the relationships between administrative effectiveness and each of the four factors of organizational culture, academic supervision, management communication, and data-driven decision-making, respectively, and explores the moderating impact of big data analytics capabilities on these relationships based on data collected from universities in Sichuan Province, China. The research aims to offer university leadership with advice on forming adaptation to the complexity of information management, gaining insight about decision-making, establishing teaching and academic databases, and displaying various approaches to the achievement evaluation of both faculty and students. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0814699074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {The Moderating Influence of Big Data Analytics Capabilities on the Relationship Between Organizational Culture and Management Effectiveness at Higher Education Institutions in Sichuan, China},
  x_author = {Jie, Jiang and Mohammadi, Alireza and Jantan, Amer Hamzah and Goyal, S.B. and He, Sun},
  x_year = {2023},
  x_pages = {1 – 11},
  x_doi = {10.1007/978-981-99-3716-5_1},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174439789&doi=10.1007%2f978-981-99-3716-5_1&partnerID=40&md5=7e1643a30f20753e1814bb5236940fd4}
}
@inproceedings{Meletiou2023Students,
  author = {Meletiou, George and Chytas, Konstantinos and Lazaridis, Nikos and Tsolakidis, Anastasios and Karanikolas, Nikitas N. and Marinagi, Catherine and Skourlas, Christos},
  title = {Students' perceptions of distance examination in Higher Education},
  journal = {ACM International Conference Proceeding Series},
  booktitle = {ACM International Conference Proceeding Series},
  year = {2023},
  pages = {217 – 223},
  doi = {10.1145/3635059.3635093},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187551361&doi=10.1145%2f3635059.3635093&partnerID=40&md5=e7b449af2819eac16f8c265ffe951fcd},
  note = {Cited by: 0; All Open Access, Hybrid Gold Open Access},
  source = {Scopus},
  abstract = {The pandemic and the various natural disasters related to climate change force Universities to operate remotely during certain periods of time. Synchronous and asynchronous Learning Management System (LMS) platforms at University provide a framework for distant operation. But it is crucial to maintain low students' attrition rates and ensure the quality of offered education at universities. This paper presents a survey of students' perceptions regarding their participation in online distance examinations in a Department of a Greek University. In this research, an online questionnaire is used in order to capture students' opinions about online distance examinations and to reveal information concern accessibility issues during the educational activities. The survey also recorded the students' opinion concerning the use of distance learning platforms, the communication with the professors and interactions between the students. According to the analysis of the questionnaires, students are willing to express their opinion on critical issues, such as the distance examinations and the problems that they face this period anonymously. To a satisfactory degree, they have the necessary equipment needed to participate in the distance educational process and they use the existing blended learning infrastructure. © 2023 Owner/Author.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0247569445},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Students' perceptions of distance examination in Higher Education},
  x_author = {Meletiou, George and Chytas, Konstantinos and Lazaridis, Nikos and Tsolakidis, Anastasios and Karanikolas, Nikitas N. and Marinagi, Catherine and Skourlas, Christos},
  x_year = {2023},
  x_pages = {217 – 223},
  x_doi = {10.1145/3635059.3635093},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187551361&doi=10.1145%2f3635059.3635093&partnerID=40&md5=e7b449af2819eac16f8c265ffe951fcd}
}
@inproceedings{Gresham2021Safe,
  author = {Gresham, Thomas R. and Kim, Joshua and Mcdonald, James and Scoggins, Nick and Mostafavi, Moeen and Park, B. Brian and Porter, Michael D. and Duffy, Michael E. and Smith, Sandra A.},
  title = {Safe and Sustainable Fleet Management with Data Analytics and Training},
  journal = {2021 IEEE Systems and Information Engineering Design Symposium, SIEDS 2021},
  booktitle = {2021 IEEE Systems and Information Engineering Design Symposium, SIEDS 2021},
  year = {2021},
  doi = {10.1109/SIEDS52267.2021.9483746},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114207539&doi=10.1109%2fSIEDS52267.2021.9483746&partnerID=40&md5=dba188beb1894c0f094569c0ed16cf02},
  note = {Cited by: 5},
  source = {Scopus},
  abstract = {In scores of vehicle fleets, telematic tracking systems provide fleet managers with information regarding energy consumption, the obedience of safety regulations and driver performance. For a University's Facilities Management (FM) Fleet to take the next steps towards an elevated Sustainable Fleet accreditation and overall team performance, the management has recognized the importance of effective energy and safety tracking methods combined with data analytics and a comprehensive systems analysis in order to aid the reinforcement, training and maintenance of safe and sustainable driving practices by fleet drivers. This paper outlines the design of a unique safety and eco-driving training program that will prompt University FM drivers to reflect on, educate and develop mindful driving habits which reduce environmental impact, cost and risk. We analyzed historical driver behavior data, including idling time, harsh acceleration, crash incident details, resulting in the identification of risk factors and areas for significant improvement. Educational aspects of the training program were influenced by focus groups, interviews administered with industry experts, and professional fleet training modules. The efficacy of the customized training program has been assessed through a statistical evaluation of telematic data collected before and after the training program was delivered. The results indicate that agency-specific mindful driving training was statistically significant in improving five of the six behavioral metrics measured - idling time, seat belt usage, speeding, hard acceleration, and hard braking - compared to the control group. © 2021 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0245486111},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Safe and Sustainable Fleet Management with Data Analytics and Training},
  x_author = {Gresham, Thomas R. and Kim, Joshua and Mcdonald, James and Scoggins, Nick and Mostafavi, Moeen and Park, B. Brian and Porter, Michael D. and Duffy, Michael E. and Smith, Sandra A.},
  x_year = {2021},
  x_doi = {10.1109/SIEDS52267.2021.9483746},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114207539&doi=10.1109%2fSIEDS52267.2021.9483746&partnerID=40&md5=dba188beb1894c0f094569c0ed16cf02}
}
@inproceedings{Tahmina2023Implementing,
  author = {Tahmina, Qudsia and Kelley, Kathryn and Furterer, Sandra L.},
  title = {Implementing an Effective ABET Assessment Program for a New Bachelor of Science in Engineering Technology Degree},
  journal = {ASEE Annual Conference and Exposition, Conference Proceedings},
  booktitle = {ASEE Annual Conference and Exposition, Conference Proceedings},
  year = {2023},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172164482&partnerID=40&md5=fe12a8b9fd3f7ca41d021d673169bf18},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {This paper is the second in the sequence of the process established in developing an assessment process for accreditation of the new Bachelor of Science in Engineering Technology (BSET) program at a higher education institution that has previously granted Bachelor of Science in Engineering degrees. The new degree program was launched in the Autumn of 2020 at the Ohio State University. Offered by the regional campuses which have traditionally been feeder campuses to the central campus, this employer-driven program will prepare graduates for high-demand manufacturing occupations that require strong technical and management skills. The curriculum for the four-year degree program was based on industry needs that will allow graduates of the program to help the state build the manufacturing workforce needed to compete and thrive. The curriculum is driven by a rigorous assessment process and foundational skills for mathematics, physics, engineering, and management skills including the following: problem-solving, innovation, leadership, and change management, operation of automated systems, machining, and electro-mechanical maintenance skills, managing cyber-physical systems, and system-wide implementation and improvement of technological processes for manufacturing firms. A curriculum development and assessment committee was formed in the Autumn of 2020 to devise a plan for measuring student learning outcomes based on the Engineering Technology Accreditation Commission (ETAC) of the Accreditation Board for Engineering and Technology, Inc [1]. During 2020-2021, the faculty team was charged with the implementation of a robust framework for the assessment of student learning outcomes using Canvas; the university's learning management system (LMS) which can be used as a tool to help in decision-making and continuous improvement. A paper was presented at the 2021 ASEE Annual Conference that introduced the framework developed for this program; this is the second paper in the sequence that will share the implementation of the assessment process and assessment results from the first two years of the program. The purpose of this paper is threefold: a) to communicate the process of implementation of the framework developed to effectively assess the student learning outcomes using a learning management system for continuous improvement, b) to share the results of the assessment from the first two years of the coursework, and c) to share best practices with peer institutions planning to offer a new degree program in Engineering Technology or similar degrees. © American Society for Engineering Education, 2023.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0565046296},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Implementing an Effective ABET Assessment Program for a New Bachelor of Science in Engineering Technology Degree},
  x_author = {Tahmina, Qudsia and Kelley, Kathryn and Furterer, Sandra L.},
  x_year = {2023},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172164482&partnerID=40&md5=fe12a8b9fd3f7ca41d021d673169bf18}
}
@article{Ma2024Implementation,
  author = {Ma, Lijun and Ali, Zeeshan and Yin, Shi},
  title = {Implementation of Learning Management Systems (LMS) in higher education systems through bipolar complex hesitant fuzzy Aczel- Alsina power aggregation operators: A case review for China},
  journal = {PLoS ONE},
  year = {2024},
  volume = {19},
  doi = {10.1371/journal.pone.0300317},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189336994&doi=10.1371%2fjournal.pone.0300317&partnerID=40&md5=090c987dc4387e7b49e21c9a9effea79},
  note = {Cited by: 0; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {A learning management system (LMS) is a web-based application or software platform computed to facilitate the development, tracking, management, reporting, and delivery of education and training programs. Many valuable and dominant factors are working behind the Learning Management System (LMS), but no one can find which factor is most important and valuable for LMS during COVID-19 among the following five alternatives, called Improved Accessibility, Blended Learning, Collaboration and Communications, Assessment and Evaluation, and Administrative Efficiency. For this, first, we derive the techniques of bipolar complex hesitant fuzzy (BCHF) sets, and then we evaluate some flexible operational laws, called Algebraic operational laws and Aczel-Alsina operational laws. Secondly, using the above techniques, we elaborate the technique of BCHF Aczel-Alsina power averaging (BCHFAAPA), BCHF Aczel-Alsina power weighted averaging (BCHFAAPWA), BCHF Aczel-Alsina power geometric (BCHFAAPG), and BCHF Aczel-Alsina power weighted geometric (BCHFAAPWG) operators. Some basic properties are also investigated for each proposed operator. Further, to evaluate the problem concerning LMS, we compute the multiattribute decision-making (MADM) techniques for invented operators. Finally, we select some prevailing operators and try to compare their ranking results with our proposed results to enhance the worth and capability of the invented theory. © 2024 Ma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45525.0378240741},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Implementation of Learning Management Systems (LMS) in higher education systems through bipolar complex hesitant fuzzy Aczel- Alsina power aggregation operators: A case review for China},
  x_author = {Ma, Lijun and Ali, Zeeshan and Yin, Shi},
  x_journal = {PLoS ONE},
  x_year = {2024},
  x_volume = {19},
  x_doi = {10.1371/journal.pone.0300317},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189336994&doi=10.1371%2fjournal.pone.0300317&partnerID=40&md5=090c987dc4387e7b49e21c9a9effea79}
}
@article{Parrish2020Dual,
  author = {Parrish, Andrea Harkins and Richman, Laila J.},
  title = {Dual perspectives on learning analytics in higher education},
  journal = {Journal of Applied Research in Higher Education},
  year = {2020},
  volume = {12},
  pages = {4 – 14},
  doi = {10.1108/JARHE-12-2018-0254},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070279624&doi=10.1108%2fJARHE-12-2018-0254&partnerID=40&md5=c112db5253a3d021aef6042f64532b53},
  note = {Cited by: 6},
  source = {Scopus},
  abstract = {Purpose: In higher education, the authors serve multiple stakeholders with varying perspectives on the institution’s learning analytic system. The purpose of this paper is to highlight dual perspectives within the learning analytics (LA) system in one institution: that of an administrator responsible for college-wide improvement, and a faculty member responsible for programmatic improvement. Design/methodology/approach: This manuscript provides a critical perspective with dual sets of experiences and viewpoints. This approach allows close examination of each perspective within the context of the existing literature, as the authors examine transitions in the use of LA. Findings: These viewpoints offer insight into the interpretation of LA through the lens of various roles. In examining these viewpoints, the authors offer three actionable steps for other institutions who seek to implement. Practical implications: These actionable steps offer a starting point for other institutions to engage in conversations related to the adoption of LA for continuous improvement across levels and roles. Relevant implications for various parties are discussed, with an emphasis on how administrators within the university system may support faculty to incorporate LA as part of their scholarly and teaching responsibilities. Originality/value: Few studies have examined the perspectives of multiple stakeholders within an institution. Here the authors have presented these dual perspectives in order to further the dialogue between university administration and faculty as analytic systems become more widespread. Through this dialogue, the authors see increased opportunities for all stakeholders to better understand their role in LA. © 2019, Emerald Publishing Limited.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0482291667},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Dual perspectives on learning analytics in higher education},
  x_author = {Parrish, Andrea Harkins and Richman, Laila J.},
  x_journal = {Journal of Applied Research in Higher Education},
  x_year = {2020},
  x_pages = {4 – 14},
  x_volume = {12},
  x_doi = {10.1108/JARHE-12-2018-0254},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070279624&doi=10.1108%2fJARHE-12-2018-0254&partnerID=40&md5=c112db5253a3d021aef6042f64532b53}
}
@inproceedings{Alhakami2020Data,
  author = {Alhakami, Hosam Hasan and Al-Masabi, Baker Ahmed and Alsubait, Tahani Mohammad},
  title = {Data Analytics of Student Learning Outcomes Using Abet Course Files},
  journal = {Advances in Intelligent Systems and Computing},
  booktitle = {Advances in Intelligent Systems and Computing},
  year = {2020},
  volume = {1228 AISC},
  pages = {309 – 325},
  doi = {10.1007/978-3-030-52249-0_22},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088506382&doi=10.1007%2f978-3-030-52249-0_22&partnerID=40&md5=567034c8c5dd7a09d99dc33c354e49e4},
  note = {Cited by: 4},
  source = {Scopus},
  abstract = {The ABET accreditation requires Student Outcomes’ (SO) direct assessment in various courses. Outcome-based learning is what students learn as because of these assessments. Nevertheless, most universities find it difficult to approve ABET Course File. The scores of students will not truly reflect their outcome- based learning if the design of ABET Course File improperly done in a manner that addresses the relevant SOs. Contrariwise, ABET course files has to do with the direct relationship with the course contents. In cases whereby, outcome-based learning is not evident. As such, the aim of this project includes the analysis of students’ performance and accomplishments regarding ABET course files Learning, using data mining approaches. Also, this project intends to test various methods of Data mining including Naïve Bayes, Decision tree, and so on and recommend an appropriate method to predict the performance of the student. The accuracy of the prediction of student performance is high in decision tree compared to other algorithms such as Naive Bayes. © 2020, Springer Nature Switzerland AG.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0447222222},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Data Analytics of Student Learning Outcomes Using Abet Course Files},
  x_author = {Alhakami, Hosam Hasan and Al-Masabi, Baker Ahmed and Alsubait, Tahani Mohammad},
  x_year = {2020},
  x_pages = {309 – 325},
  x_doi = {10.1007/978-3-030-52249-0_22},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088506382&doi=10.1007%2f978-3-030-52249-0_22&partnerID=40&md5=567034c8c5dd7a09d99dc33c354e49e4}
}
@inproceedings{Lee2019Exploring,
  author = {Lee, Dong Joon and Mutya, Kartik and Herbert, Bruce E. and Mejia, Ethelyn V.},
  title = {Exploring Scholarly Impact Metrics in Receipt of Highly Prestigious Awards},
  journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year = {2019},
  volume = {11420 LNCS},
  pages = {147 – 153},
  doi = {10.1007/978-3-030-15742-5_13},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064038072&doi=10.1007%2f978-3-030-15742-5_13&partnerID=40&md5=c728c5ec833297fdbe66c3a51244ac74},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {The authoritative data that underlies research information management (RIM) systems supports fine-grained analyses of faculty members’ research practices and output, data-driven decision making, and organizational research management. Administrators at Texas A&M University (TAMU) asked the University Libraries to develop institutional reports that describe faculty research practices and identify their research strengths. The library runs Scholars@TAMU (https://scholars.library.tamu.edu/ ) based on VIVO, a member-supported, open source, semantic-web software program, as the university’s RIM system. This paper explores the scholarly impact and collaboration practices of senior faculty members in the College of Engineering at TAMU and identifies relationships between their impact metrics and collaboration practices. Full professors were divided into three groups: (1) those who received highly prestigious (HP) awards, (2) those who received prestigious (P) awards, and (3) those who did not receive any awards categorized as either HP or P by the National Research Council. The study’s results showed that the faculty members with HP awards had significantly higher mean ranks for their total citation count, the citation count of their top cited article, their h-index, and their total number of publications than did the faculty members without any HP or P awards. The findings from this study can inform researchers, university administrators, and bibliometric communities about the use of awards as an indicator that corresponds to other research performance indicators. Furthermore, researchers could also use the study’s results to develop a machine-learning model that could identify those faculty who are on track to win HP awards in the future. © 2019, Springer Nature Switzerland AG.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.021087963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Exploring Scholarly Impact Metrics in Receipt of Highly Prestigious Awards},
  x_author = {Lee, Dong Joon and Mutya, Kartik and Herbert, Bruce E. and Mejia, Ethelyn V.},
  x_year = {2019},
  x_pages = {147 – 153},
  x_doi = {10.1007/978-3-030-15742-5_13},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064038072&doi=10.1007%2f978-3-030-15742-5_13&partnerID=40&md5=c728c5ec833297fdbe66c3a51244ac74}
}
@inproceedings{Doneva2021Data,
  author = {Doneva, Rositsa and Gaftandzhieva, Silvia and Bandeva, Stanislava},
  title = {Data Analytics Tools in Higher Education},
  journal = {CEUR Workshop Proceedings},
  booktitle = {CEUR Workshop Proceedings},
  year = {2021},
  volume = {3061},
  pages = {91 – 99},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122279635&partnerID=40&md5=11c4f96eb6b0ce4b8e2ba452958e2493},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {Nowadays, data analytics tools play an important role in the improvement and the optimization of processes in different business areas. The wide range of the collected data has led to increased interest in the analysis of data to support data-driven decision making at all levels of educational institutions. In this regard, many companies, organizations and higher education institutions developed software tools that extract data from all systems used at the university and provide the summarized data in an appropriate format for each stakeholder group. The paper presents 35 data analytics tools that have been developed and deployed by higher education institutions. Further it offers a short analysis addressing whether those tools offer means in favor of typical university processes and corresponding stakeholders. © 2021 Copyright for this paper by its authors.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0433449074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Data Analytics Tools in Higher Education},
  x_author = {Doneva, Rositsa and Gaftandzhieva, Silvia and Bandeva, Stanislava},
  x_year = {2021},
  x_pages = {91 – 99},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122279635&partnerID=40&md5=11c4f96eb6b0ce4b8e2ba452958e2493}
}
@inproceedings{Asfaw2023Data-Driven,
  author = {Asfaw, Zelalem and Alemneh, Daniel and Jimma, Worku},
  title = {Data-Driven Decision-Making and Its Impacts on Education Quality in Developing Countries: A Systematic Review},
  journal = {2023 International Conference on Information and Communication Technology for Development for Africa, ICT4DA 2023},
  booktitle = {2023 International Conference on Information and Communication Technology for Development for Africa, ICT4DA 2023},
  year = {2023},
  pages = {198 – 203},
  doi = {10.1109/ICT4DA59526.2023.10302228},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179177323&doi=10.1109%2fICT4DA59526.2023.10302228&partnerID=40&md5=4a2b55d44e8a5bb4dd0fe24d64c330ce},
  note = {Cited by: 1; All Open Access, Green Open Access},
  source = {Scopus},
  abstract = {Data-driven decision-making (DDDM) technologies are increasingly being utilized, aiming to enhance education quality. However, the implementation of these technologies in developing countries is at an early stage, and evidence regarding their impacts on education quality remains limited. Therefore, this paper examines articles that explore the implementation of DDDM technologies and their effects on education quality. We employed PRISMA to select relevant articles published between 2018 and 2022 from ERIC, Science Direct, IEEE Xplore, and Google Scholar databases. A total of 26 studies were identified, showcasing various DDDM technologies employed in developing countries' educational sectors, including learning management systems (LMS), learning analytics tools, massive open online course (MOOC) platforms, e-Iearning tools, e-Assessment systems, recommender and guidance systems, data-driven approaches, personal response systems, collaborator tools, and educational management information systems (EMIS). The adoption of these technologies has shown positive effects such as improved academic performance, timely dissemination of information, enhanced collaboration, improved communication, better decision-making processes, enhanced ICT skills, improved monitoring, immediate feedback provision, and efficient time management. Although DDDM technologies have been more prevalent in higher education settings, their effective utilization in the educational sector of developing countries has not been fully realized. Nonetheless, the adoption and diversification of DDDM technologies in education hold substantial potential for the future. Further research should focus on quantifying the contribution of DDDM technologies to educational quality through rigorous statistical analysis. Additionally, it is essential to explore any potential adverse effects that DDDM may have on educational quality in developing countries. © 2023 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0467824074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Data-Driven Decision-Making and Its Impacts on Education Quality in Developing Countries: A Systematic Review},
  x_author = {Asfaw, Zelalem and Alemneh, Daniel and Jimma, Worku},
  x_year = {2023},
  x_pages = {198 – 203},
  x_doi = {10.1109/ICT4DA59526.2023.10302228},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179177323&doi=10.1109%2fICT4DA59526.2023.10302228&partnerID=40&md5=4a2b55d44e8a5bb4dd0fe24d64c330ce}
}
@article{Campbell2022Completing,
  author = {Campbell, Jill and Ziefle, Katrice and Colsch, Renee and Koschmann, Kara S. and Graeve, Catherine},
  title = {Completing accreditation during the COVID-19 pandemic: A step-by-step process for success},
  journal = {Journal of Professional Nursing},
  year = {2022},
  volume = {40},
  pages = {79 – 83},
  doi = {10.1016/j.profnurs.2022.03.003},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126570504&doi=10.1016%2fj.profnurs.2022.03.003&partnerID=40&md5=df883d340058d753ed25faba23fc6887},
  note = {Cited by: 1; All Open Access, Green Open Access},
  source = {Scopus},
  abstract = {Many higher-education administrative processes have transitioned to the online environment due to the COVID-19 pandemic. Nursing program accreditation site visits were not spared from this shift. This article describes the step-by-step online, interactive, and collaborative process one nursing department used for program re-accreditation. Kotter's 8-step process for accelerating change informed this work. Positive outcomes included increased faculty engagement and knowledge in the accreditation process and an ongoing accreditation readiness team. Recommendations include forming an accreditation committee, appointing program champions, utilizing a learning management system and a cloud-based storage system, and celebrating successes. This process could be replicated by other nursing programs undergoing accreditation. © 2022 Elsevier Inc.},
  document_type = {Article},
  selection_criteria = {Estudios disponibles de forma gratuita o a través de bases de datos accesibles},
  created_at = {45522.0029166667},
  updated_at = {45522.0167824074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Completing accreditation during the COVID-19 pandemic: A step-by-step process for success},
  x_author = {Campbell, Jill and Ziefle, Katrice and Colsch, Renee and Koschmann, Kara S. and Graeve, Catherine},
  x_journal = {Journal of Professional Nursing},
  x_year = {2022},
  x_pages = {79 – 83},
  x_volume = {40},
  x_doi = {10.1016/j.profnurs.2022.03.003},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126570504&doi=10.1016%2fj.profnurs.2022.03.003&partnerID=40&md5=df883d340058d753ed25faba23fc6887}
}
@inproceedings{Tahmina2021Building,
  author = {Tahmina, Qudsia and Kelley, Kathryn and Ulstad, Aimee T.},
  title = {Building an Effective ABET ETAC Assessment Program from the Ground Up},
  journal = {ASEE Annual Conference and Exposition, Conference Proceedings},
  booktitle = {ASEE Annual Conference and Exposition, Conference Proceedings},
  year = {2021},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124546153&partnerID=40&md5=79e765807cc9ff7a87473af14bafbd90},
  note = {Cited by: 4},
  source = {Scopus},
  abstract = {This paper is the first of what is expected to be a multi-year process of establishing and developing an assessment process for accreditation of the new Bachelor of Science in Engineering Technology (BSET) program at a higher education institution that has previously granted Bachelor of Science in Engineering degrees. The new degree program was launched in Autumn 2020 at the regional campuses of The Ohio State University, which have traditionally been feeder campuses. To prepare for a new and effective degree program, an assessment team was formed. The committee was charged to develop a plan for program assessment by following the criteria defined by the Engineering and Technology Accreditation Commission (ETAC) of the Accreditation board of Engineering and Technology (ABET). Team members collaborated with faculty and administrators to gather information about the curriculum and developed a plan of action and timeline for the assessment in the first year of the program offering. They also attended webinars and participated in ABET-coordinated sessions to educate themselves on the eligibility requirements and criteria to prepare for accreditation. Preparing a robust framework involved establishing program educational objectives, streamlining the process for assessment of student learning outcomes and maintaining a data management and sharing system offered by the university. Other tasks included developing a mechanism for mapping program educational objectives to ABET student outcomes to course goals and integrating learning management system as a tool to help in decision making and continuous improvement of the program. The purpose of this paper is twofold: a) to communicate the process of building an effective assessment program for ABET accreditation from the ground up; and b) to share best practices with others who offer degree programs in Engineering Technology or similar degrees. © American Society for Engineering Education, 2021},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0160416667},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Building an Effective ABET ETAC Assessment Program from the Ground Up},
  x_author = {Tahmina, Qudsia and Kelley, Kathryn and Ulstad, Aimee T.},
  x_year = {2021},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124546153&partnerID=40&md5=79e765807cc9ff7a87473af14bafbd90}
}
@inproceedings{Cuya2022Assessment,
  author = {Cuya, Kennedy and Palaoag, Thelma},
  title = {Assessment of a Learning Management System as a Blended Workplace Using the UTAUT2 model},
  journal = {Proceedings of the 2022 IEEE 7th International Conference on Information Technology and Digital Applications, ICITDA 2022},
  booktitle = {Proceedings of the 2022 IEEE 7th International Conference on Information Technology and Digital Applications, ICITDA 2022},
  year = {2022},
  doi = {10.1109/ICITDA55840.2022.9971323},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145346344&doi=10.1109%2fICITDA55840.2022.9971323&partnerID=40&md5=597f3cf7a757bdc55ff2ceb4ccdaf39a},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {As we transitioned to the new normal, most academic institutions implemented a comprehensive work-from-home strategy during the height of the pandemic. An established research model will be used to evaluate an LMS as a blended workplace, with the goal of establishing a reference point. Likert scale with indication of 1 as strongly disagree to 7 as strongly agree, the questionnaire survey was designed in accordance with the established research model of UTAUT2 by Venkatesh. Structural Equation Modeling and Partial Least Squares (PLS) were used to analyze the data in this study. This study assessed the reliability and validity of the proposed hypotheses using structural model, measurement model, and moderator analysis. Other confirmatory analyses were performed to assess the developed hypothesis, including goodness of fit, goodness of model, collinearity, bootstrapping, and its predictive power. It was found out that the factors included in the proposed research framework of the study had a positive and significant impact on the use of the LMS as a blended workplace application in the study. As a result, it is recommended that it be used for university-wide implementation. A learning management system (LMS), specifically Moodle, can be extremely beneficial for educational institutions that are applying for international standard certification or program accreditation. It can assist with maintaining administrative tasks, submission, reviewing, approval, and monitoring of required documents. © 2022 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0365046296},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Assessment of a Learning Management System as a Blended Workplace Using the UTAUT2 model},
  x_author = {Cuya, Kennedy and Palaoag, Thelma},
  x_year = {2022},
  x_doi = {10.1109/ICITDA55840.2022.9971323},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145346344&doi=10.1109%2fICITDA55840.2022.9971323&partnerID=40&md5=597f3cf7a757bdc55ff2ceb4ccdaf39a}
}
@article{Turner2019Between,
  author = {Turner, Ralph Lamar and Gassaway, Carol},
  title = {Between kudzu and killer apps: Finding human ground between the monoculture of MOOCs and online mechanisms for learning},
  journal = {Educational Philosophy and Theory},
  year = {2019},
  volume = {51},
  pages = {380 – 390},
  doi = {10.1080/00131857.2018.1465816},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046668726&doi=10.1080%2f00131857.2018.1465816&partnerID=40&md5=f03b3547631f4e4f4544b05c923a6bd3},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {Although MOOCs have not lived up to previously breathless predictions of disruption, they have had an outsized influence on university administrators who see online learning as a “savior solution” for ever-shrinking budgets. Despite lower student persistent rates, faculty skepticism, and burdensome faculty workloads, the general public and administrative embrace of online learning has been enthusiastic, which may be explained in part using Foucault’s concept of the episteme to view the convergence of the parallel tracks of educational and technological development--the idea of a kind of mechanism for learning. While MOOCs once promised “best professors,” other institutions now promise the “best designed” mechanisms for learning, certified through corporatized quality assurance programs and learning management systems. While this may be appropriate for shopping educational products in a neoliberal marketplace, it seldom addresses human needs. Moreover, the temporal and human constraints that online promises to banish, in fact, continue to exist. Therefore, a more realistic examination of psychological and social factors, pedagogical tools, and the nature of online communication, is needed in order to create a more humane way of teaching, and learning. © 2018, © 2018 Philosophy of Education Society of Australasia.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0153587963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Between kudzu and killer apps: Finding human ground between the monoculture of MOOCs and online mechanisms for learning},
  x_author = {Turner, Ralph Lamar and Gassaway, Carol},
  x_journal = {Educational Philosophy and Theory},
  x_year = {2019},
  x_pages = {380 – 390},
  x_volume = {51},
  x_doi = {10.1080/00131857.2018.1465816},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85046668726&doi=10.1080%2f00131857.2018.1465816&partnerID=40&md5=f03b3547631f4e4f4544b05c923a6bd3}
}
@inproceedings{Nguyen2024An,
  author = {Nguyen, Hoang Minh V. and Oh, Sunho C. and Saha, Goirick and Blunt, Terrence L. and Ball, Matthew J. and Duffy, Michael E. and Abdelzaher, Ahmed F and Brian Park, B.},
  title = {An Analysis of Vehicular Telematics and Geo-Location Data to Maximize Road Safety},
  journal = {2024 Systems and Information Engineering Design Symposium, SIEDS 2024},
  booktitle = {2024 Systems and Information Engineering Design Symposium, SIEDS 2024},
  year = {2024},
  pages = {136 – 141},
  doi = {10.1109/SIEDS61124.2024.10534635},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195320967&doi=10.1109%2fSIEDS61124.2024.10534635&partnerID=40&md5=d572e6602521c8de3cae3788eaa15a11},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {In scores of vehicle fleets, telematic tracking systems provide fleet managers with information regarding energy consumption, compliance with safety regulations, and driver performance. For a University's Facilities Management (FM) Fleet to take the next step towards an elevated Sustainable Fleet accreditation and overall team performance, the management has recognized the importance of safety tracking methods combined with data analytics and a comprehensive systems analysis to aid the reinforcement training and maintenance of safe and sustainable driving practices by fleet drivers. This paper demonstrated an effective method of identifying safety hotspots by analyzing safety surrogate measures, such as harsh braking, harsh cornering and speeding from vehicular telematics data and combining them with their geo-location information to enhance the safety of the University of Virginia's facilities management vehicles and common drivers in the area. Instances of safety surrogate measure violations were first mapped onto a cluster map and were then normalized and combined to pinpoint which spots on campus were most prone to accidents. We then validated the cluster maps with crash data from both Facilities Management vehicles and the state of Virginia to identify safety hotspots. From the investigations, we considered a list of comprehensive safety countermeasures to address the safety infractions identified at each hot spot. These safety countermeasures were recommended based on their likelihood of reducing safety violations. © 2024 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0144560185},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {An Analysis of Vehicular Telematics and Geo-Location Data to Maximize Road Safety},
  x_author = {Nguyen, Hoang Minh V. and Oh, Sunho C. and Saha, Goirick and Blunt, Terrence L. and Ball, Matthew J. and Duffy, Michael E. and Abdelzaher, Ahmed F and Brian Park, B.},
  x_year = {2024},
  x_pages = {136 – 141},
  x_doi = {10.1109/SIEDS61124.2024.10534635},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195320967&doi=10.1109%2fSIEDS61124.2024.10534635&partnerID=40&md5=d572e6602521c8de3cae3788eaa15a11}
}
@inproceedings{Ashaari2020Big,
  author = {Ashaari, Mohamed Azlan and Amran, Azlan and Ahmad, Noor Hazlina and Bakri, Hazrieffendy and Nazri, Shahrizal},
  title = {Big Data Analytics Technology Capability and Data-Driven Decision Making in Malaysian Higher Education Institutions: A Conceptual Framework},
  journal = {IOP Conference Series: Materials Science and Engineering},
  booktitle = {IOP Conference Series: Materials Science and Engineering},
  year = {2020},
  volume = {874},
  doi = {10.1088/1757-899X/874/1/012021},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087864938&doi=10.1088%2f1757-899X%2f874%2f1%2f012021&partnerID=40&md5=0e5e2f29f7e2cbc5923faef92493e258},
  note = {Cited by: 6; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {In the era of big data, many organizations are aiming to become more data-driven and increase their decision-making efficiency. Nevertheless, there is an insufficient investigation that explores the antecedents of data-driven decision making (DDDM) in the context of Malaysian Higher Education Institutions (HEIs). Therefore, the study examines existing literature and utilises the Big Data Analytics Technology Capability (BDATC) dimensions such as connectivity, compatibility and modularity to conceptualize a DDDM framework. The study utilises Resource-Based Theory (RBT) to highlight the key dimensions for BDATC and how these dimensions are being integrate in order to establish effective DDDM for excellent performance. The antecedents of DDDM is a relatively new approach that is documented in literature, where literature seems to be diversified in terms of offering theoretical and conceptual frameworks, together with a model that Higher Education Institutions (HEIs) can utilize. The study chooses HEIs that undergo Malaysian Research Assessment Instrument (MyRA) as the focus of investigation. The data was collected from the key informants of Malaysian HEIs. In conclusion, the contribution of the study is to highlight the influence of BDATC for DDDM to attain better performance of HEIs in Malaysia. © Published under licence by IOP Publishing Ltd.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45525.0334143519},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Big Data Analytics Technology Capability and Data-Driven Decision Making in Malaysian Higher Education Institutions: A Conceptual Framework},
  x_author = {Ashaari, Mohamed Azlan and Amran, Azlan and Ahmad, Noor Hazlina and Bakri, Hazrieffendy and Nazri, Shahrizal},
  x_year = {2020},
  x_doi = {10.1088/1757-899X/874/1/012021},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087864938&doi=10.1088%2f1757-899X%2f874%2f1%2f012021&partnerID=40&md5=0e5e2f29f7e2cbc5923faef92493e258}
}
@inproceedings{Thammaboosadee2019An,
  author = {Thammaboosadee, Sotarat and Yanta, Sorawee},
  title = {An Analytical Data Monetization Value Chain for Educational Process Improvement under Thai University Central Admission System},
  journal = {TIMES-iCON 2019 - 2019 4th Technology Innovation Management and Engineering Science International Conference},
  booktitle = {TIMES-iCON 2019 - 2019 4th Technology Innovation Management and Engineering Science International Conference},
  year = {2019},
  doi = {10.1109/TIMES-iCON47539.2019.9024499},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082396987&doi=10.1109%2fTIMES-iCON47539.2019.9024499&partnerID=40&md5=9c530fe4af1d05a128075af42b1abee2},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Thai University Central Admission System (TCAS) is the university admission system used in Thailand since 2018 and has 5 admission rounds a year. The impact from TCAS to the universities is that the universities got the different level of student performance in each TCAS rounds. Data from several domains are fed into the system and would be beneficial for insights gaining towards process improvements or optimization. Data monetization is a framework to turn growing valuable asset such as data into currency or other benefits to the organizations. The purpose of this paper is to demonstrate data monetization value chain for applying data analytics to improve university admission process under TCAS and use the case from universities in Thailand as a case study. © 2019 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45524.8250694444},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {An Analytical Data Monetization Value Chain for Educational Process Improvement under Thai University Central Admission System},
  x_author = {Thammaboosadee, Sotarat and Yanta, Sorawee},
  x_year = {2019},
  x_doi = {10.1109/TIMES-iCON47539.2019.9024499},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082396987&doi=10.1109%2fTIMES-iCON47539.2019.9024499&partnerID=40&md5=9c530fe4af1d05a128075af42b1abee2}
}
@article{Singh2022Across,
  author = {Singh, Upasana G. and Watson, Rashmi and Nair, Chenicheri Sid},
  title = {Across continents: A comparison of African and Australian academics’ online preparedness},
  journal = {Perspectives in Education},
  year = {2022},
  volume = {40},
  pages = {39 – 61},
  doi = {10.18820/2519593X/PIE.V40.I1.3},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127513235&doi=10.18820%2f2519593X%2fPIE.V40.I1.3&partnerID=40&md5=2d35d7be4009d95f3eac7eb4f14a3929},
  note = {Cited by: 7; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {The COVID-19 pandemic has disrupted higher education across the globe, in particular the shift from face-to-face teaching and assessment, as well as interaction with students. In 2020, an online survey was distributed to African and Australian higher education academics to gather insights into academics’ transformation of educational practices during the early stages of the COVID-19 pandemic. In particular it focused on the effects on the quality of teaching, learning and assessment. The survey questions investigated the comparison of the use of teaching and assessment technologies prior to, and during the COVID-19 pandemic; academics’ experiences with the sudden shift to work-from-home (WFH) arrangements and quality assurance measures for digital technologies. The sample included 71 academics across 12 Australian universities/tertiary institutions and 278 academics across 21 African higher education institutions. This study identified that while many Australian academics had prior experience and training in online/blended delivery, African academics, despite not having formal training in digital pedagogy, rated themselves as more than average in their ability to adopt technology for the online environment, just as the Australian cohort had. The most effective online tools adopted during the crisis in the African region were Zoom and WhatsApp while in the Australian region the learning management system (LMS) was the most popular. The major factors that affected African and Australian students’ ability to engage online included lack of access to connectivity and devices, technological competency and emotional and social factors. The results suggest that the predominant challenges faced by students as reported by academics across both continents in the “forced” remote work environment other than general anxiety about COVID-19 were social isolation (Aguilera-Hermida, 2020), connectivity for their students and the lack of a balanced work life (Kotteeswari & Sharief, 2014; Oliveira et al., 2021). This study has implications on institutions’ readiness in terms of capacity building for academic staff, infrastructure and support during digital delivery of courses. © Creative Commons With Attribution (CC-BY)},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0142476852},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Across continents: A comparison of African and Australian academics’ online preparedness},
  x_author = {Singh, Upasana G. and Watson, Rashmi and Nair, Chenicheri Sid},
  x_journal = {Perspectives in Education},
  x_year = {2022},
  x_pages = {39 – 61},
  x_volume = {40},
  x_doi = {10.18820/2519593X/PIE.V40.I1.3},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127513235&doi=10.18820%2f2519593X%2fPIE.V40.I1.3&partnerID=40&md5=2d35d7be4009d95f3eac7eb4f14a3929}
}
@article{Guerra-Lpez2021A,
  author = {Guerra-López, Ingrid and El Dallal, Siba},
  title = {A content analysis of change management strategies used in technological transitions in higher education institutions from the lens of a strategic alignment framework},
  journal = {Online Learning Journal},
  year = {2021},
  volume = {25},
  pages = {191 – 207},
  doi = {10.24059/olj.v25i3.2395},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114691501&doi=10.24059%2folj.v25i3.2395&partnerID=40&md5=8da101052a0c5eb1119c044b43f59029},
  note = {Cited by: 1; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Technology innovations have the potential to significantly strengthen the ability of higher education institutions to deliver on their core educational mission with greater quality, efficiency, and effectiveness. Not surprisingly, managing technological changes is among the chief concerns for institutional leaders, and yet there is a dearth of research that provides concrete frameworks for managing this type of change in a higher education context. Using Guerra-López and Hicks’s Learning and Development Strategic Alignment (LDSA) framework, this qualitative study used a directed content analysis approach to develop a contextualized framework for planning and managing technology change in higher education institutions. The findings suggest that there is a meaningful fit between specific change management strategies found in the learning management systems (LMS) transition research literature and the LDSA framework. The various strategies were synthesized and grouped around LDSA dimensions and core functions, resulting in a technological change management framework contextualized for higher education. © 2021, The Online Learning Consortium. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.9483796296},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {A content analysis of change management strategies used in technological transitions in higher education institutions from the lens of a strategic alignment framework},
  x_author = {Guerra-López, Ingrid and El Dallal, Siba},
  x_journal = {Online Learning Journal},
  x_year = {2021},
  x_pages = {191 – 207},
  x_volume = {25},
  x_doi = {10.24059/olj.v25i3.2395},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114691501&doi=10.24059%2folj.v25i3.2395&partnerID=40&md5=8da101052a0c5eb1119c044b43f59029}
}
@article{Shepherd2019A,
  author = {Shepherd, Ian and Pope, Don and Reeves, Brent},
  title = {A Canvas Learning Management System Proposal for Accreditation Reporting Using Rubrics and Assignments},
  journal = {Journal of Higher Education Theory and Practice},
  year = {2019},
  volume = {19},
  pages = {102 – 114},
  doi = {10.33423/jhetp.v19i4.2205},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146981028&doi=10.33423%2fjhetp.v19i4.2205&partnerID=40&md5=43a4d2da0fddb081c85c6256c01351f5},
  note = {Cited by: 2; All Open Access, Bronze Open Access},
  source = {Scopus},
  abstract = {Institutions of higher education are increasingly required to document enhancements in the pedagogical arena. Accreditation requirements include the systematic establishment of program and student learning outcomes and assessment of the attainment of these. This process has been labor-intensive and inconsistent for most institutions. Our process is an efficient method for any institution to create and measure the attainment of program and student learning objectives. By setting up assignments and rubrics within the Canvas Learning Management System with a simple prefix tag (standardized for each school for program and student learning objectives), we can automatically report each of the accreditation-related measurements and analyze the results. © 2019, North American Business Press. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.9792708333},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {A Canvas Learning Management System Proposal for Accreditation Reporting Using Rubrics and Assignments},
  x_author = {Shepherd, Ian and Pope, Don and Reeves, Brent},
  x_journal = {Journal of Higher Education Theory and Practice},
  x_year = {2019},
  x_pages = {102 – 114},
  x_volume = {19},
  x_doi = {10.33423/jhetp.v19i4.2205},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146981028&doi=10.33423%2fjhetp.v19i4.2205&partnerID=40&md5=43a4d2da0fddb081c85c6256c01351f5}
}
@article{Roopchund2019Higher,
  author = {Roopchund, Randhir},
  title = {Higher education challenges for public universities in Mauritius},
  journal = {International Journal of Management in Education},
  year = {2019},
  volume = {13},
  pages = {205 – 217},
  doi = {10.1504/IJMIE.2019.100401},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068384238&doi=10.1504%2fIJMIE.2019.100401&partnerID=40&md5=d50b2ed9539a41b13d81c6d3774b0608},
  note = {Cited by: 3},
  source = {Scopus},
  abstract = {The research paper seeks to unravel some of the higher education challenges and opportunities with the wave of globalisation and internationalisation in the Mauritian context. The country ambitions to be an education hub such as Malaysia and consequently, it is important to assess opportunities and challenges for policy decisions. A qualitative approach has been used for the purpose for this research with the use of focus group study with key stakeholders in the higher education sector. The study also makes use of the Quality Audit Reports conducted by the Tertiary Education Commission to synthesise the key challenges. Reference is also made to global education reports and to successful educational hubs for purposes of comparison. The research findings emphasise the importance of effective human resource strategies, need to improve teaching and research quality and also the need to bolster the existing quality assurance system. There is also increasing emphasis on the use of technology in the higher education learning environment such as the learning management system. The research emphasises the impact of globalisation on higher education which drives the need for a market-oriented and student centred approach to global education. The main limitation is that the results may not be generalised and that it is specific to the Public universities in Mauritius. Copyright © 2019 Inderscience Enterprises Ltd.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0213541667},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Higher education challenges for public universities in Mauritius},
  x_author = {Roopchund, Randhir},
  x_journal = {International Journal of Management in Education},
  x_year = {2019},
  x_pages = {205 – 217},
  x_volume = {13},
  x_doi = {10.1504/IJMIE.2019.100401},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85068384238&doi=10.1504%2fIJMIE.2019.100401&partnerID=40&md5=d50b2ed9539a41b13d81c6d3774b0608}
}
@incollection{Daz2023USING,
  author = {Díaz, Sebastián and Boston, Wallace and Layne, Melissa and Ice, Phil},
  title = {USING PRINCIPLES OF KNOWLEDGE MANAGEMENT FOR EDUCATIONAL QUALITY ASSURANCE},
  journal = {Assuring Quality in Online Education: Practices and Processes at the Teaching, Resource, and Program Levels},
  booktitle = {Assuring Quality in Online Education: Practices and Processes at the Teaching, Resource, and Program Levels},
  year = {2023},
  pages = {210 – 225},
  doi = {10.4324/9781003443124-18},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166101228&doi=10.4324%2f9781003443124-18&partnerID=40&md5=6969c1462185d2f8e8aefb3d3bb2a3f4},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {This chapter presents a brief description of knowledge management (KM). It describes how KM is currently manifested in the typical university, and discusses the future of KM and its relationship to quality assurance and academia. The chapter reviews how intellectual capital serves as an effective framework for envisioning future approaches to KM and informs the more efficient use of existing data, improving the quality of teaching and learning in the academic enterprise. Learning management systems (LMSs) continue to revolutionize the evaluation of quality in teaching and learning because they automatically codify so many aspects of the classroom experience formerly left unrecorded. Even though LMSs have already revolutionized how the quality of teaching and learning is evaluated, their nature as a manifestation of KM systems offers tremendous opportunities for expanding and improving the continuous quality improvement processes in the academy. Proactive investments must be made in structural capital that provides actionable knowledge. © 2014 by Taylor & Francis Group.},
  document_type = {Book chapter},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45524.8283449074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {USING PRINCIPLES OF KNOWLEDGE MANAGEMENT FOR EDUCATIONAL QUALITY ASSURANCE},
  x_author = {Díaz, Sebastián and Boston, Wallace and Layne, Melissa and Ice, Phil},
  x_year = {2023},
  x_pages = {210 – 225},
  x_doi = {10.4324/9781003443124-18},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166101228&doi=10.4324%2f9781003443124-18&partnerID=40&md5=6969c1462185d2f8e8aefb3d3bb2a3f4}
}
@inproceedings{Abdullah2023Screen,
  author = {Abdullah, Aziman},
  title = {Screen Time in Learning Management System as Student Learning Time Indicators for Academic Quality Assurance},
  journal = {Proceedings of International Conference on Research in Education and Science},
  booktitle = {Proceedings of International Conference on Research in Education and Science},
  year = {2023},
  volume = {9},
  pages = {462 – 475},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184340648&partnerID=40&md5=b15b4712e39f4fcd4ec8967d870c9fee},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {This study explores the potential of using screen time data in learning management systems (LMS) to estimate student learning time (SLT) and validate the credit value of courses. Gathering comprehensive data on actual student learning time is difficult, so this study uses LMS Moodle logs from a computer programming course with 490 students over 16 weeks to estimate SLT. The data was segmented into a minute for each record and total duration was calculated for each student on a weekly basis. The study found variations in SLT on a weekly basis and identified that the number of students who engaged with the LMS after midnight varied according to week, possibly due to assessment deadlines. These findings suggest that screen time data in LMS can be utilized for data-driven decision making for academic quality assurance in higher education. This study can help policy makers and academic institutions to make more informed decisions and promote personalized learning experiences. © 2023 Published by the ISTES Organization},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0718055556},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Screen Time in Learning Management System as Student Learning Time Indicators for Academic Quality Assurance},
  x_author = {Abdullah, Aziman},
  x_year = {2023},
  x_pages = {462 – 475},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184340648&partnerID=40&md5=b15b4712e39f4fcd4ec8967d870c9fee}
}
@inproceedings{Robinson-Bryant2020Examining,
  author = {Robinson-Bryant, Federica and Norman, Narcrisha and Lin, Yuetong},
  title = {Examining the needs of adjunct faculty in a distance education framework in higher education},
  journal = {ASEE Annual Conference and Exposition, Conference Proceedings},
  booktitle = {ASEE Annual Conference and Exposition, Conference Proceedings},
  year = {2020},
  volume = {2020-June},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095756797&partnerID=40&md5=c9129bcca6f34b3c7d9f961aeca94643},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {This paper introduces a study designed to better understand the challenges adjunct faculty face and to instigate continuous improvement processes relevant to the administration, quality and sustainability of adjunct faculty in distance learning programs. It aims to identify and investigate, among key stakeholders, prevailing interests and concerns which are organized into four dimensions- (1) Faculty Onboarding, (2) Course Assignments, (3) Faculty Performance and (4) College Communication. Results show that adjunct faculty would like more feedback, more course information available prior to the course becoming accessible in the learning management system, increased lead time and frequency for the courses they teach, and more effective communication with the academic units and its points of contact. Based on these findings and a review of the literature, a list of short-term and long-term opportunities to foster adjunct faculty efficiency, effectiveness and other identified concerns is presented. © American Society for Engineering Education 2020.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.071875},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Examining the needs of adjunct faculty in a distance education framework in higher education},
  x_author = {Robinson-Bryant, Federica and Norman, Narcrisha and Lin, Yuetong},
  x_year = {2020},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095756797&partnerID=40&md5=c9129bcca6f34b3c7d9f961aeca94643}
}
@article{Krdali2020Implementation,
  author = {Krdžalić, Amina and Brgulja, Amina and Duraković, Benjamin},
  title = {Implementation of lean practices in a higher education institution's student affairs office: A case study from a Bosnian University},
  journal = {International Journal on Advanced Science, Engineering and Information Technology},
  year = {2020},
  volume = {10},
  pages = {567 – 577},
  doi = {10.18517/ijaseit.10.2.10822},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085194854&doi=10.18517%2fijaseit.10.2.10822&partnerID=40&md5=832826296ac598c4eb5e38dcc2d2a15e},
  note = {Cited by: 10},
  source = {Scopus},
  abstract = {Higher education is a key element of prosperous communities, and the quality of education should be a priority in attracting prospective students. Good education implies good academic staff, well-equipped laboratories, facilities, and efficient processes. Maintain efficient processes is challenging abut achievable. One of the possible solutions to improve education processes is to pursue a lean strategy in order to reduce waste and non-value-added activities. The purpose of this paper is to combine paying off strategies from manufacturing companies with higher education institutions (HEI), in order to enhance the quality of education and efficiency of higher education institutions. This research deals with application lean tools in university processes with the aim of investigating the possibility of applying lean concepts in HEI. Processes from the student affairs office from a Bosnian university were taken as a case study. The tools were used for data collections, student satisfaction measurement, process efficiency analysis and assessment whether the university is ready for the implementation of the lean concept. As a result, it was observed that communication channels between university and students are weak, the student information system does not respond to students' needs, internal communication channels need to be improved and human resources are underused. Overall, it was found that the lean strategy can be applied in HEIs but for the successful implementation of lean thinking, lifestyle from top management to lower management must be adopted. © 2020 Insight Society.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0215856481},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Implementation of lean practices in a higher education institution's student affairs office: A case study from a Bosnian University},
  x_author = {Krdžalić, Amina and Brgulja, Amina and Duraković, Benjamin},
  x_journal = {International Journal on Advanced Science, Engineering and Information Technology},
  x_year = {2020},
  x_pages = {567 – 577},
  x_volume = {10},
  x_doi = {10.18517/ijaseit.10.2.10822},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085194854&doi=10.18517%2fijaseit.10.2.10822&partnerID=40&md5=832826296ac598c4eb5e38dcc2d2a15e}
}
@article{Lenouvel2022Evidence-oriented,
  author = {Lenouvel, Eric and Lornsen, Finn and Schüpbach, Brigitte and Mattson, Janet and Klöppel, Stefan and Pinilla, Severin},
  title = {Evidence-oriented teaching of geriatric psychiatry: a narrative literature synthesis and pilot evaluation of a clerkship seminar; [Evidenz-orientierte Lehre in der Alterspsychiatrie – eine narrative Literaturübersicht und eine Pilotevaluation eines Blockpraktikumseminars]},
  journal = {GMS Journal for Medical Education},
  year = {2022},
  volume = {39},
  doi = {10.3205/zma001541},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130374770&doi=10.3205%2fzma001541&partnerID=40&md5=2d9d40312b79b2f3bb693ac3dd5bad3f},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Introduction: The field of geriatric psychiatry has in recent decades developed into an independent discipline, incorporating elements of psychiatry, neurology and internal medicine. In view of demographic changes, this field is becoming increasingly relevant for primary care and undergraduate medical training. So far, however, there is little educational guidance for instructional design of geriatric psychiatry in undergraduate medical education. Project description: A narrative literature review of medical education studies in the field of geriatric psychiatry was conducted. Student evaluations of a geriatric psychiatry clerkship seminar were analyzed, followed by a target group analysis. Results informed the iterative development of new clerkship seminar content and structure. This was implemented and evaluated over several academic cycles. Learning material was made available via the open-source learning management system “ILIAS”. Results: A total of 29 medical education articles were identified and evaluated. The previous seminar in geriatric psychiatry at our university hospital was rated below average (Likert item overall rating of 4.3/6 compared to other seminars with an average overall rating of 5.2, p<0.001). An evidence-oriented revision of the content and instructional design was implemented. Activation of learners, self-reference effect, and audience questioning were used during the lecture. Additionally, two geriatric psychiatry case scenarios were adapted for discussion. We saw continuous improvement of student evaluations of the revised course, reaching a rating improvement of 5.3 out of 6 (p<0.01, U=135.5 Cohen’s d=1.28). Conclusion: A systematic approach was used to develop a geriatric psychiatry clerkship seminar, based on medical education evidence, for undergraduate medical students, resulting in better student evaluations. The teaching materials can be adapted for local implementation at other teaching hospitals. Future studies should also explore effects regarding higher learning outcomes. © 2022 Lenouvel et al.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0204513889},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Evidence-oriented teaching of geriatric psychiatry: a narrative literature synthesis and pilot evaluation of a clerkship seminar; [Evidenz-orientierte Lehre in der Alterspsychiatrie – eine narrative Literaturübersicht und eine Pilotevaluation eines Blockpraktikumseminars]},
  x_author = {Lenouvel, Eric and Lornsen, Finn and Schüpbach, Brigitte and Mattson, Janet and Klöppel, Stefan and Pinilla, Severin},
  x_journal = {GMS Journal for Medical Education},
  x_year = {2022},
  x_volume = {39},
  x_doi = {10.3205/zma001541},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130374770&doi=10.3205%2fzma001541&partnerID=40&md5=2d9d40312b79b2f3bb693ac3dd5bad3f}
}
@article{Gaftandzhieva2023Data-driven,
  author = {Gaftandzhieva, Silvia and Hussain, Sadiq and Hilčenko, Slavoljub and Doneva, Rositsa and Boykova, Kirina},
  title = {Data-driven Decision Making in Higher Education Institutions: State-of-play},
  journal = {International Journal of Advanced Computer Science and Applications},
  year = {2023},
  volume = {14},
  pages = {397 – 405},
  doi = {10.14569/IJACSA.2023.0140642},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165002502&doi=10.14569%2fIJACSA.2023.0140642&partnerID=40&md5=9fe183b1d662bce84c611219c36c04e9},
  note = {Cited by: 2; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {The paper highlights the importance of using data-driven decision-making tools in Higher Education Institutions (HEIs) to improve academic performance and support sustainable development. HEIs must utilize data analytics tools, including educational data mining, learning analytics, and business intelligence, to extract insights and knowledge from educational data. These tools can help HEIs’ leadership monitor and improve student enrolment campaigns, track student performance, evaluate academic staff, and make data-driven decisions. Although decision support systems have many advantages, they are still underutilized in HEIs, leaving field for further research and implementation. To address this, the authors summarize the benefits of applying data-driven decision approaches in HEIs and review various frameworks and methodologies, such as a course recommendation system and an academic prediction model, to aid educational decision-making. These tools articulate pedagogical theories, frameworks, and educational phenomena to establish mainstay significant components of learning to enable the scheming of superior learning systems. The tools can be utilized by the placement agencies or companies to find out their probable trainees/ recruitees. They can help students in course selection, and educational management in being more efficient and effective. © 2023, International Journal of Advanced Computer Science and Applications. All Rights Reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.9888310185},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Data-driven Decision Making in Higher Education Institutions: State-of-play},
  x_author = {Gaftandzhieva, Silvia and Hussain, Sadiq and Hilčenko, Slavoljub and Doneva, Rositsa and Boykova, Kirina},
  x_journal = {International Journal of Advanced Computer Science and Applications},
  x_year = {2023},
  x_pages = {397 – 405},
  x_volume = {14},
  x_doi = {10.14569/IJACSA.2023.0140642},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165002502&doi=10.14569%2fIJACSA.2023.0140642&partnerID=40&md5=9fe183b1d662bce84c611219c36c04e9}
}
@article{Arsovic2020E-learning,
  author = {Arsovic, Branka and Stefanovic, Nenad},
  title = {E-learning based on the adaptive learning model: case study in Serbia},
  journal = {Sadhana - Academy Proceedings in Engineering Sciences},
  year = {2020},
  volume = {45},
  doi = {10.1007/s12046-020-01499-8},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093923970&doi=10.1007%2fs12046-020-01499-8&partnerID=40&md5=b453c310775e4585e93b7617c095efc0},
  note = {Cited by: 26},
  source = {Scopus},
  abstract = {Today’s education faces many challenges related to learning and teaching efficiency, effectiveness, and costs. Contemporary research shows that the learning environment with the ability to adapt to individual needs, requirements, and competencies of students, facilitates the learning process and leads to improved learning outcomes and achievements. Nevertheless, learning management systems (LMS) that are often used in e-learning typically provide a limited level of adaptivity. The goal of this paper is to introduce an adaptive e-learning model which enables personalized learning experience and more intelligent decision making. It consists of the students’ model, the adaptation module, the expert system for data analysis and decision making, the repository of learning objects, and database of educational methods. The designed model provides adaptivity through a learning management system, considering individual characteristics of the student, such as their learning styles and prior knowledge. It is capable to adapt course content, structure, and assessment based on the specific student’s needs and performance. The model is implemented within the widely used open-source LMS, which makes it more usable and easier to deploy. The process of applying the proposed model is illustrated with a higher education case study that shows how the recommended method is applied for a successful transition to an adaptive form of learning. The model has been tested through experiment during which a group of students attended traditional non-adaptive e-learning course, and the other group attended the adaptive e-learning course. The results of data analysis showed that students who learned from an adaptive course achieved better performance in various aspects. The proposed adaptive model can enhance educational processes in terms of improving learning performance, personalized application of teaching/learning methods, as well as continuous improvement cycle. © 2020, Indian Academy of Sciences.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45524.8293981482},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {E-learning based on the adaptive learning model: case study in Serbia},
  x_author = {Arsovic, Branka and Stefanovic, Nenad},
  x_journal = {Sadhana - Academy Proceedings in Engineering Sciences},
  x_year = {2020},
  x_volume = {45},
  x_doi = {10.1007/s12046-020-01499-8},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093923970&doi=10.1007%2fs12046-020-01499-8&partnerID=40&md5=b453c310775e4585e93b7617c095efc0}
}
@incollection{Stellar2022The,
  author = {Stellar, James R.},
  title = {The Role of Skill Development in Higher Education: Why It Is Brain- Smart and Encouraged by Modern Technology},
  journal = {Mapping the Future of Undergraduate Career Education: Equitable Career Learning, Development, and Preparation in the New World of Work},
  booktitle = {Mapping the Future of Undergraduate Career Education: Equitable Career Learning, Development, and Preparation in the New World of Work},
  year = {2022},
  pages = {265 – 274},
  doi = {10.4324/9781003213000-22},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141491781&doi=10.4324%2f9781003213000-22&partnerID=40&md5=723ac5b416b2aa88a3a1b1325ab0c368},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Higher education has the great advantage of centuries of tradition, organized into current disciplinary areas of teaching and research, and codified by more recent accreditation practices. While this arrangement has long worked well, two trends are emerging that threaten to reshape the future of higher education. The first is the emerging focus on the development of and documentation of skills (soft and hard). The second trend lies outside higher education. It is the invention of brain scanners that show neural activity associated with mental processing. They reveal implicit brain processes in decision-making and highlight the role of this learning underlying professional skills. These two trends, combined with modern digital technology and big data analytics, represent an opportunity to better document professional skills, bolster the role a college degree plays in employability and upward mobility, and inspire students in the process. © 2023 selection and editorial matter, Melanie V. Buford, Michael J. Sharp, and Michael J. Stebleton; individual chapters, the contributors.},
  document_type = {Book chapter},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45524.8297337963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {The Role of Skill Development in Higher Education: Why It Is Brain- Smart and Encouraged by Modern Technology},
  x_author = {Stellar, James R.},
  x_year = {2022},
  x_pages = {265 – 274},
  x_doi = {10.4324/9781003213000-22},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141491781&doi=10.4324%2f9781003213000-22&partnerID=40&md5=723ac5b416b2aa88a3a1b1325ab0c368}
}
@article{Divjak2023Assessment,
  author = {Divjak, Blaženka and Svetec, Barbi and Horvat, Damir and Kadoić, Nikola},
  title = {Assessment validity and learning analytics as prerequisites for ensuring student-centred learning design},
  journal = {British Journal of Educational Technology},
  year = {2023},
  volume = {54},
  pages = {313 – 334},
  doi = {10.1111/bjet.13290},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142153244&doi=10.1111%2fbjet.13290&partnerID=40&md5=949dd75885866b3bd39b1e856f9b9e2c},
  note = {Cited by: 8},
  source = {Scopus},
  abstract = {To ensure the validity of an assessment programme, it is essential to align it with the intended learning outcomes (LO). We present a model for ensuring assessment validity which supports this constructive alignment and uses learning analytics (LA). The model is based on LA that include a comparison between ideal LO weights (expressing the prioritization of LOs), actual assessment weights (maximum assessment points per LO), and student assessment results (actually obtained assessment points per LO), as well as clustering and trace data analysis. These analytics are part of a continuous improvement cycle, including strategic planning and learning design (LD) supported by LO prioritization, and monitoring and evaluation supported by LA. To illustrate and test the model, we conducted a study on the example of a graduate-level higher education course in applied mathematics, by analysing student assessment results and activity in a learning management system. The study showed that the analyses provided valuable insights with practical implications for the development of sound LD, tailored educational interventions, databases of assessment tasks, recommendation systems, and self-regulated learning. Future research should investigate the possibilities for automation of such LA, to enable full exploitation of their potential and use in everyday teaching and learning. Practitioner notesWhat is already known about this topicTo develop sound, student-centred learning design (LD), it is essential to ensure that assessment is constructively aligned with the intended learning outcomes (LO).This constructive alignment is crucial for ensuring the validity of an assessment program.Learning analytics (LA) can provide insights that help develop valid assessment programs.What this paper addsAs not all LOs are equally important, assessment programs should reflect the prioritization of LOs, which can be determined by using various multi-criteria decision-making (MCDM) methods.This article presents and illustrates, based on an empirical case, a model of continuous improvement of LD, which uses LA to compare how LOs are reflected in (actual) students' results, in an (actual) assessment program, and in the (ideal) prioritization of LOs based on MCDM.The study presents how clustering of students based on their assessment results can be used in LA to provide insights for educational interventions better targeted to students' needs.Implications for practice and/or policyThe proposed LA can provide important insights for the development (or improvement) of LD in line with the intended course LOs, but also study program LOs (if course and study program LOs are properly aligned).The LA can also contribute to the development of databases of assessment tasks aligned with course LOs, with ensured validity, supporting sharing and reusing, as well as to the development of tailored educational interventions (eg, based on clustering).The proposed LA can also contribute to the development of recommendation systems, with recommendations for the improvement of LD for teachers or learning suggestions for students, as well as students' meta-cognition and self-regulated learning. © 2022 British Educational Research Association.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0369791667},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Assessment validity and learning analytics as prerequisites for ensuring student-centred learning design},
  x_author = {Divjak, Blaženka and Svetec, Barbi and Horvat, Damir and Kadoić, Nikola},
  x_journal = {British Journal of Educational Technology},
  x_year = {2023},
  x_pages = {313 – 334},
  x_volume = {54},
  x_doi = {10.1111/bjet.13290},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142153244&doi=10.1111%2fbjet.13290&partnerID=40&md5=949dd75885866b3bd39b1e856f9b9e2c}
}
@article{Epstein2021Successful,
  author = {Epstein, Richard H. and Hofer, Ira S. and Salari, Valiollah and Gabel, Eilon},
  title = {Successful Implementation of a Perioperative Data Warehouse Using Another Hospital's Published Specification From Epic's Electronic Health Record System},
  journal = {Anesthesia and Analgesia},
  year = {2021},
  volume = {132},
  pages = {465 – 474},
  doi = {10.1213/ANE.0000000000004806},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097025724&doi=10.1213%2fANE.0000000000004806&partnerID=40&md5=51804039767a39cd34dc297fad2ad00d},
  note = {Cited by: 11},
  source = {Scopus},
  abstract = {BACKGROUND: Many hospitals have replaced their legacy anesthesia information management system with an enterprise-wide electronic health record system. Integrating the anesthesia data within the context of the global hospital information infrastructure has created substantive challenges for many organizations. A process to build a perioperative data warehouse from Epic was recently published from the University of California Los Angeles (UCLA), but the generalizability of that process is unknown. We describe the implementation of their process at the University of Miami (UM). METHODS: The UCLA process was tested at UM, and performance was evaluated following the configuration of a reporting server and transfer of the required Clarity tables to that server. Modifications required for the code to execute correctly in the UM environment were identified and implemented, including the addition of locally specified elements in the database. RESULTS: The UCLA code to build the base tables in the perioperative data warehouse executed correctly after minor modifications to match the local server and database architecture at UM. The 26 stored procedures in the UCLA process all ran correctly using the default settings provided and populated the base tables. After modification of the item lists to reflect the UM implementation of Epic (eg, medications, laboratory tests, physiologic monitors, and anesthesia machine parameters), the UCLA code ran correctly and populated the base tables. The data from those tables were used successfully to populate the existing perioperative data warehouse at UM, which housed data from the legacy anesthesia information management system of the institution. The time to pull data from Epic and populate the perioperative data warehouse was 197 ± 47 minutes (standard deviation [SD]) on weekdays and 260 ± 56 minutes (SD) on weekend days, measured over 100 consecutive days. The longer times on weekends reflect the simultaneous execution of database maintenance tasks on the reporting server. The UCLA extract process has been in production at UM for the past 18 months and has been invaluable for quality assurance, business process, and research activities. CONCLUSIONS: The data schema developed at UCLA proved to be a practical and scalable method to extract information from the Epic electronic health system database into the perioperative data warehouse in use at UM. Implementing the process developed at UCLA to build a comprehensive perioperative data warehouse from Epic is an extensible process that other hospitals seeking more efficient access to their electronic health record data should consider. © 2021 Lippincott Williams and Wilkins. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0248148148},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Successful Implementation of a Perioperative Data Warehouse Using Another Hospital's Published Specification From Epic's Electronic Health Record System},
  x_author = {Epstein, Richard H. and Hofer, Ira S. and Salari, Valiollah and Gabel, Eilon},
  x_journal = {Anesthesia and Analgesia},
  x_year = {2021},
  x_pages = {465 – 474},
  x_volume = {132},
  x_doi = {10.1213/ANE.0000000000004806},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097025724&doi=10.1213%2fANE.0000000000004806&partnerID=40&md5=51804039767a39cd34dc297fad2ad00d}
}
@article{Shendell2024Commentary:,
  author = {Shendell, Derek G. and Aggarwal, Juhi},
  title = {Commentary: trends in interests of new public health students concerning environmental health},
  journal = {Frontiers in Education},
  year = {2024},
  volume = {9},
  doi = {10.3389/feduc.2024.1342874},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187452697&doi=10.3389%2ffeduc.2024.1342874&partnerID=40&md5=38f92d01eeed39a125b3e5bcdd549770},
  note = {Cited by: 0; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Introduction: This paper was based on data from the core course in environmental health (EH) for master’s in public health students at Rutgers School of Public Health (SPH), Rutgers Biomedical and Health Sciences at Rutgers, and The State University of New Jersey (NJ). Methods: The multi-part poll or survey of students was in the first module (2 weeks) of the course’s eight module organization on Rutgers Canvas Learning Management System. We collected data every time the first author led this course section during the three academic semesters of each calendar year 2015-2023 (excluding winter 2022-summer 2023 due to grants buyout during COVID-19 pandemic). Results: Data suggested interesting trends and changes in geographic levels of interest over time for EH. When examining interests separately for urban EH and rural EH, the trend was toward approximately equal interests in local, county and state levels (lower than national level—U.S. or student’s home country/nation—but higher than global level). This is where many EH job opportunities are located. Overall, 95% of students reported they believed climate change is real, and 95% of students agreed (“yes”) human activities including combustion sources of pollution contribute to climate change. No one stated “no;” the rest were not sure at the time. Discussion: These insights from new public health students across majors/concentrations in NJ could inform other accredited SPH across the U.S. and in other nations to help plan future versions of core courses in EH or SPH-wide integrated core courses in compliance with required competencies for accreditation. Copyright © 2024 Shendell and Aggarwal.},
  document_type = {Article},
  selection_criteria = {Estudios disponibles de forma gratuita o a través de bases de datos accesibles},
  created_at = {45522.0029166667},
  updated_at = {45526.9616203704},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Commentary: trends in interests of new public health students concerning environmental health},
  x_author = {Shendell, Derek G. and Aggarwal, Juhi},
  x_journal = {Frontiers in Education},
  x_year = {2024},
  x_volume = {9},
  x_doi = {10.3389/feduc.2024.1342874},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187452697&doi=10.3389%2ffeduc.2024.1342874&partnerID=40&md5=38f92d01eeed39a125b3e5bcdd549770}
}
@inproceedings{Egarievwe2021Vertical,
  author = {Egarievwe, Stephen U. and Johnson, Jamie A. and Agbalagba, Ezekiel O.},
  title = {Vertical education enhancement approach to meeting emerging skillset needs in oil and gas industry},
  journal = {Proceedings - SPE Annual Technical Conference and Exhibition},
  booktitle = {Proceedings - SPE Annual Technical Conference and Exhibition},
  year = {2021},
  volume = {2021-September},
  doi = {10.2118/206087-MS},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116668461&doi=10.2118%2f206087-MS&partnerID=40&md5=7a4d402f9e219b97c7a445fd6295f2c7},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Emerging technologies often bring new opportunities to enhance productivity and safety in the oil and gas industry. New technologies and opportunities often come with the challenges of workforce development to provide entry-level and current professionals with the necessary training and skillset. This paper presents a vertical education enhancement (VEE) model approach to providing emerging skillset needs in the oil and gas industry with emphases on curriculum continuous improvement and lifelong learning. The top new and emerging technologies that are critical to the future of the oil and gas industry in enhancing productivity and safety include Internet of Things (IoT), artificial intelligence, big data analytics, cloud computing, and 3D modeling/visualization. As part of the solution to train the oil and gas industry workforce to meet the challenges of adopting these technologies, the VEE model features a vertical education structure that encompasses outreach to K-12 education, recruitment, tertiary education, professional training, and lifelong learning. It has an interwoven fundamental structure consisting of curriculum and mentorship, partnerships with stakeholders (industry, government, and community), and research and funding. The VEE model has periodic assessment continuous improvement processes for identifying emerging technologies and new skillset needed to improve the workforce. These processes are like those practiced by accreditation bodies such Accreditation Board for Engineering and Technology (ABET), United Kingdom Accreditation Services (UKAS), and Offshore Petroleum Industry Training Organization (OPITO). Diversity to increase the participation of underrepresented minority groups and women in engineering would further increase the workforce. The novelty that the VEE model approach brings is the effectiveness in providing skillset training in new and emerging technologies for the oil and gas industry at all levels of workforce development. These include content infusion in existing courses, special-topic and specialized courses at senior and graduate levels, and professional development education and training through lifelong learning platforms. © 2021, Society of Petroleum Engineers},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.1138425926},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Vertical education enhancement approach to meeting emerging skillset needs in oil and gas industry},
  x_author = {Egarievwe, Stephen U. and Johnson, Jamie A. and Agbalagba, Ezekiel O.},
  x_year = {2021},
  x_doi = {10.2118/206087-MS},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116668461&doi=10.2118%2f206087-MS&partnerID=40&md5=7a4d402f9e219b97c7a445fd6295f2c7}
}
@inproceedings{Ijab2019Investigating,
  author = {Ijab, Mohamad Taha and Wahab, Seri Manja Abdul and Salleh, Mohd Azul Mohamad and Bakar, Azlina Abu},
  title = {Investigating big data analytics readiness in higher education using the technology-organisation-environment (TOE) framework},
  journal = {International Conference on Research and Innovation in Information Systems, ICRIIS},
  booktitle = {International Conference on Research and Innovation in Information Systems, ICRIIS},
  year = {2019},
  volume = {December-2019},
  doi = {10.1109/ICRIIS48246.2019.9073631},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084432574&doi=10.1109%2fICRIIS48246.2019.9073631&partnerID=40&md5=88dd4123509f3d5ad5d183acdfbe84f3},
  note = {Cited by: 15},
  source = {Scopus},
  abstract = {This paper aims to conceptualise the big data analytics (BDA) readiness among staff in higher education institutions in Malaysia. BDA refers to the process of collecting, managing, processing, analysing and visualising huge amount of data. BDA readiness is important because skills and competencies in using big data for data-driven decision making is vital particularly in the era of 4IR. Based on a single case study approach, this paper investigates the BDA readiness of a national university in Malaysia. The study merges readiness theories and the Technology-Organisation-Environment (TOE) framework constructs towards proposing a conceptual framework of how BDA readiness can be investigated in a higher education setting. Data from in-depth interviews with staff members of an institution of higher education is used to provide empirical evidence supporting the proposed conceptual framework. © 2019 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0589236111},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Investigating big data analytics readiness in higher education using the technology-organisation-environment (TOE) framework},
  x_author = {Ijab, Mohamad Taha and Wahab, Seri Manja Abdul and Salleh, Mohd Azul Mohamad and Bakar, Azlina Abu},
  x_year = {2019},
  x_doi = {10.1109/ICRIIS48246.2019.9073631},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85084432574&doi=10.1109%2fICRIIS48246.2019.9073631&partnerID=40&md5=88dd4123509f3d5ad5d183acdfbe84f3}
}
@inproceedings{Abdullah2020Uncovered,
  author = {Abdullah, Aziman and Kamaludin, Adzhar and Romli, Awanis},
  title = {Uncovered User Engagement Pattern in LMS during COVID-19 Pandemic Using Temporal Visualization Matrix},
  journal = {ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics},
  booktitle = {ETCCE 2020 - International Conference on Emerging Technology in Computing, Communication and Electronics},
  year = {2020},
  doi = {10.1109/ETCCE51779.2020.9350899},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102050646&doi=10.1109%2fETCCE51779.2020.9350899&partnerID=40&md5=45359547e13b72a7e12412b51f741443},
  note = {Cited by: 4; All Open Access, Hybrid Gold Open Access},
  source = {Scopus},
  abstract = {Movement Controlled Order (MCO) during COVID-19 pandemic causing global higher education to intensify the use of online learning to keep student engage with their study. While many institutions of higher learning plan for blended learning approach instead of full online, this sudden shift to full online causing bottleneck performance of Learning Management System (LMS). Therefore, the aim of this paper is to study the pattern of user engagement in LMS during pandemic. The case used in this study is LMS from Universiti Malaysia Pahang. Quantitative method has been chosen as a research method in this study where user interaction data from the LMS log is been used for engagement analysis. By combining the context of user engagement, we create temporal visualization matrix to gain the insight of user engagement pattern in LMS. Our findings show that both student and instructor are still highly engaged in LMS even after midnight. This insight is useful and significant for the institution (1) to deploy effective Quaity of Service (QoS) of LMS operation and (2) to design a policies related to quality assurance during pandemic by addressing the wellbeing aspect of student and instructor. © 2020 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0259490741},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Uncovered User Engagement Pattern in LMS during COVID-19 Pandemic Using Temporal Visualization Matrix},
  x_author = {Abdullah, Aziman and Kamaludin, Adzhar and Romli, Awanis},
  x_year = {2020},
  x_doi = {10.1109/ETCCE51779.2020.9350899},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102050646&doi=10.1109%2fETCCE51779.2020.9350899&partnerID=40&md5=45359547e13b72a7e12412b51f741443}
}
@article{Sonawane2024The,
  author = {Sonawane, Arvind and Shekhar, Aishwarya and Murab, Sachin Ashok and Pansare, Rishikesh Balkrishna and Satonkar, Vikas Haribhau and Jha, Vivek Kumar Singh},
  title = {The Role of Artificial Intelligence in Streamlining University Library Operations},
  journal = {Library Progress International},
  year = {2024},
  volume = {44},
  pages = {51 – 66},
  doi = {10.52710/lpi.44.1.4},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200675685&doi=10.52710%2flpi.44.1.4&partnerID=40&md5=6c350d565c59695cdd15ee0e782b73c2},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {The rise of new technologies, including artificial intelligence, is changing universities' conduct of library operations and, therefore, their workflows and service to the user. Taking away from human beings formal routine dodges through artificial intelligence releases a librarian's time for more thoughtful and valuable assignments. It helps in automating the entire cataloging and classification of machine learning algorithms to reduce any form of human error related to it. This also leads to an accurate categorization to arrange stuff properly. Chatbots and virtual assistants that are AI-powered, working around the clock, help users ask questions, use library resources, and navigate research. Predictive analytics, through demand forecasting, allows the libraries to minimize the risk factor and anticipate the users' needs to effect comprehensive collection development. AI also assists in the process of data analytics and helps manage resources for better insights and concrete data-driven decision-making in the process of resource allocation and when more resources need to be procured. Technologies such as image and text recognition have made it possible to digitize and index vast amounts of archival sources, hence departing resources hidden up to universal researchers. With its intelligent recommendations and a similarly formatted interface, the entire user's experience gets personalized for a given patron; offering suggested electronic versions of materials relative to what faculty and students have used in the past. More importantly, AI-embedded systems come in handy in making the security system in a library more reliable, from detecting to shielding against plausible threats on sensitive user data or confidential intellectual properties. At the same time, AI in university libraries not only enhances library operational efficiency but also helps procure the academic environment that is made preferable and accessible. The larger the role that technology plays in the operation of libraries, the potential for innovations toward improved service shall become higher. Consequently, university libraries that incorporate AI have a crucial advantage in offering potentialities whereby they can adjust and diversify the needs of their academic fraternities into an environment of learning and research evolution. © 2024, BPAS Publications. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0820486111},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {The Role of Artificial Intelligence in Streamlining University Library Operations},
  x_author = {Sonawane, Arvind and Shekhar, Aishwarya and Murab, Sachin Ashok and Pansare, Rishikesh Balkrishna and Satonkar, Vikas Haribhau and Jha, Vivek Kumar Singh},
  x_journal = {Library Progress International},
  x_year = {2024},
  x_pages = {51 – 66},
  x_volume = {44},
  x_doi = {10.52710/lpi.44.1.4},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200675685&doi=10.52710%2flpi.44.1.4&partnerID=40&md5=6c350d565c59695cdd15ee0e782b73c2}
}
@inproceedings{Tawafak2021Learning,
  author = {Tawafak, Ragad M. and Romli, Awanis and Malik, Sohail Iqbal and Alfarsi, Ghaliya},
  title = {Learning management systems for accreditation approval: A review paper},
  journal = {AIP Conference Proceedings},
  booktitle = {AIP Conference Proceedings},
  year = {2021},
  volume = {2339},
  doi = {10.1063/5.0044366},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105630826&doi=10.1063%2f5.0044366&partnerID=40&md5=62fdde2299949a2ef95a8e385da53c26},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {The blended learning (BL) services presented for the academic accreditation process of universities and other educational institutions is a policy that has been used rapidly in the educational area. This process represents a real challenge and a need for institutions to function by the challenges in the ways of development for the attainment of faculty and student satisfaction. The need for learning management systems (LMS) becomes a real advance to control the management of technological development. The purpose of this study is to overcome these challenges and speed up the whole e-learning process in a different manner. The study revealed the existence of an important gap between the important features of blended learning applications and the control management of LMS. The finding shows a systematic analysis of existing technologies and their effects on accreditation checkpoints approval for the underlying conception of the assessment processes involve perspectives that relate to what is now considered valuable or desirable concerning the institution of higher education. © 2021 American Institute of Physics Inc.. All rights reserved.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0629282407},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Learning management systems for accreditation approval: A review paper},
  x_author = {Tawafak, Ragad M. and Romli, Awanis and Malik, Sohail Iqbal and Alfarsi, Ghaliya},
  x_year = {2021},
  x_doi = {10.1063/5.0044366},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105630826&doi=10.1063%2f5.0044366&partnerID=40&md5=62fdde2299949a2ef95a8e385da53c26}
}
@article{Guevara2023Implementation,
  author = {Guevara, Karim and Barra, Lucy Delgado},
  title = {Implementation of the digital portfolio of the subject for quality assurance, in the framework of the accreditation process at the Professional School of Systems Engineering; [Implementación del portafolio digital de la asignatura para el aseguramiento de la calidad, en el marco del proceso de acreditación en la Escuela Profesional de Ingeniería de Sistemas]},
  journal = {RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao},
  year = {2023},
  volume = {2023},
  pages = {403 – 415},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178378401&partnerID=40&md5=b0bded8764b2093eeab01683740c0006},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {In the processes of accreditation and continuous improvement typical of the university education system, it is essential to demonstrate the development and results of the work of students and professors in the teaching-learning process throughout a semester. This article presents the digital system that allows this collection in a timely manner and the experience of its use in the Professional School of Systems Engineering. This system works on the Google Sites platform, that is, it is a Web-based alternative, in combination with a virtual classroom implemented on the Learning Management System Moodle platform. The integration of both has allowed a successful implementation of digital portfolios that allows not only accountability in the self-assessment process, but also the formulation of improvement plans at the subject level and of our school. © 2023, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0518287037},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Implementation of the digital portfolio of the subject for quality assurance, in the framework of the accreditation process at the Professional School of Systems Engineering; [Implementación del portafolio digital de la asignatura para el aseguramiento de la calidad, en el marco del proceso de acreditación en la Escuela Profesional de Ingeniería de Sistemas]},
  x_author = {Guevara, Karim and Barra, Lucy Delgado},
  x_journal = {RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao},
  x_year = {2023},
  x_pages = {403 – 415},
  x_volume = {2023},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85178378401&partnerID=40&md5=b0bded8764b2093eeab01683740c0006}
}
@article{Azman2020How,
  author = {Azman, Mohamed Nor Azhari and Kamis, Arasinah and Kob, Che Ghani Che and Abdullah, Arman Shah and Jerusalem, Mohammad Adam and Komariah, Kokom and Budiastuti, Emy},
  title = {How good is myguru: The lecturers’ perceived usefulness and attitude},
  journal = {Cakrawala Pendidikan},
  year = {2020},
  volume = {39},
  pages = {422 – 431},
  doi = {10.21831/cp.v39i2.30790},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090650931&doi=10.21831%2fcp.v39i2.30790&partnerID=40&md5=ae9ecddd10fbc6c1b2ef89850296a3af},
  note = {Cited by: 6; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {The integration of e-learning platforms in the higher education system has been around for a long time and is seen in line with the changes in Industrial Revolution 4.0 (IR4.0). Realizing this, Sultan Idris University of Education (UPSI), Malaysia has developed a Learning Management System (LMS) platform based on Technology Acceptance Model for its members to streamline learning and facilitating processes, namely MYGURU. The purpose of this study was to determine the applicability and attitude of the lecturers towards the used of MYGURU during the teaching, learning and facilitating process. Using a survey method, the study involved 248 lecturers (out of 734 overall lecturers) who were selected using simple random sampling. The questionnaire was distributed by email in 2 months period. The results of this study found the mean score for MYGURU perceived usefulness and mean scores of lecturers’ attitude to be at moderate level. The study of attitudes toward MYGURU used was modest, whereas the correlation test showed that there was a significant positive and moderate relationship between perceived usefulness and lecturers’ attitude. This study implies that developing a Learning Management System such as MYGURU requires continuous improvement in order to provide a better quality of higher education. © 2020, Universitas Negeri Yogyakarta (Yogyakarta State University). All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.021412037},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {How good is myguru: The lecturers’ perceived usefulness and attitude},
  x_author = {Azman, Mohamed Nor Azhari and Kamis, Arasinah and Kob, Che Ghani Che and Abdullah, Arman Shah and Jerusalem, Mohammad Adam and Komariah, Kokom and Budiastuti, Emy},
  x_journal = {Cakrawala Pendidikan},
  x_year = {2020},
  x_pages = {422 – 431},
  x_volume = {39},
  x_doi = {10.21831/cp.v39i2.30790},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090650931&doi=10.21831%2fcp.v39i2.30790&partnerID=40&md5=ae9ecddd10fbc6c1b2ef89850296a3af}
}
@inproceedings{Potts2023Exploiting,
  author = {Potts, Laramie Vance and Jin, Huiran and Rabie, Mohammad},
  title = {Exploiting Digital Learning Management System (LMS) Capabilities for Effective Program Assessment of Competency-based Education},
  journal = {ASEE Annual Conference and Exposition, Conference Proceedings},
  booktitle = {ASEE Annual Conference and Exposition, Conference Proceedings},
  year = {2023},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172123373&partnerID=40&md5=4211a085b7e5ca528ee24ae995feffc9},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Background: Effective programmatic assessment (PA) is essential for accreditation of professional degree programs leading to licensure. Accreditation organizations for Higher Education Institution (HEI) programs such as the ABET may stipulate student outcomes. Programs seeking accreditation from ABET must present clear proof of a rigorous process that uses student work products to assess student outcomes attained. The value of PA results offers entry points for institutions and/or departments to initiate discussions on the status of student learning and to make informed decisions on program improvements. The concept of PA is well described in the literature; however, studies on implementing and operationalizing a consistent assessment approach using a Learning Management System (LMS) across courses of an academic program are lacking. Best practices on program assessment recommend that numerical scores of student performance should be linked to learning objectives. Few engineering faculties received formal grading training. They tend to rely on historical grading practices, personal experiences as students, or grade student work with a rubric that is disconnected from the learning objectives. Such traditional grading practices tend to mask the various aspects of student learning and therefore lacks the capacity to capture the full breadth of competency-based education. Globally, a high percentage of colleges and universities use a LMS to better manage teaching and learning activities. Despite the significant financial investment in LMS, faculty have not fully exploited its data capture, analytics and visualization capabilities and therefore its utility in support of effective program assessment is mostly underutilized. Objective: This paper seeks to add to the ongoing discussion on effective strategies that improve assessment of student learning in competency-based education. We present a case study to show the data collecting, data analytics and visualization capabilities of the Canvas TM LMS for student outcomes on communications for engineering management and engineering technology programs. In doing so, we address two questions that guided this investigation namely: a) what are the best practices to formulate student assignments given student outcomes for ETAC programs, and b) how to devise and setup up standard rubrics in a LMS for unbiased scoring of student work products. © American Society for Engineering Education, 2023.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0510763889},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Exploiting Digital Learning Management System (LMS) Capabilities for Effective Program Assessment of Competency-based Education},
  x_author = {Potts, Laramie Vance and Jin, Huiran and Rabie, Mohammad},
  x_year = {2023},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172123373&partnerID=40&md5=4211a085b7e5ca528ee24ae995feffc9}
}
@article{Assaraira2022The,
  author = {Assaraira, Thafer and Alhindawi, Nouh and Bani-Mohammad, Saad and Al-Anber, Zaid and Albashaireh, Zeid},
  title = {The Jordanian Universities Experience in Integrating Online Learning and its Quality Assurance},
  journal = {International Arab Journal of Information Technology},
  year = {2022},
  volume = {19},
  pages = {544 – 565},
  doi = {10.34028/iajit/19/3A/15},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133560106&doi=10.34028%2fiajit%2f19%2f3A%2f15&partnerID=40&md5=22a94092597ce29e799b274c3899f852},
  note = {Cited by: 11; All Open Access, Bronze Open Access},
  source = {Scopus},
  abstract = {University educational institutions in Jordan, in general, have quickly dealt with emergency situations facing education, such as the Corona pandemic, in which they needed to move from traditional learning to online learning (in its fully and blended forms) during the previous period. This led the public and private educational institutions in Jordan to implement the executive action plan that was prepared by the Ministry of Higher Education and Scientific Research (MoHESR) for integrating online learning into the higher education system and reflect it on their programs in order to keep pace with developments at the local, regional and international levels. This study includes a specification of the components relevant to online learning management system, and aims to determine the percentages of achievement at the level of fully online learning and blended learning for all components of the online learning management system in public and private Jordanian universities and also determine the percentages of achievement for each one of these components at the university level, and the most important actions that should be taken by universities to achieve them. The study also aims to benefit the integration of online learning within the Jordanian higher education system in an effective manner that achieves high levels of educational quality for online learning in its both forms and ensure the desired shift in the performance of Jordanian higher education institutions and the quality of its output, keeping pace with global developments in this field. The study concludes with a set of results that will benefit decision-makers in the Accreditation and Quality Assurance Commission for Higher Education Institutions (AQACHEI), MoHESR, and Jordanian higher education institutions. © 2022, Zarka Private University. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.9437384259},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {The Jordanian Universities Experience in Integrating Online Learning and its Quality Assurance},
  x_author = {Assaraira, Thafer and Alhindawi, Nouh and Bani-Mohammad, Saad and Al-Anber, Zaid and Albashaireh, Zeid},
  x_journal = {International Arab Journal of Information Technology},
  x_year = {2022},
  x_pages = {544 – 565},
  x_volume = {19},
  x_doi = {10.34028/iajit/19/3A/15},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133560106&doi=10.34028%2fiajit%2f19%2f3A%2f15&partnerID=40&md5=22a94092597ce29e799b274c3899f852}
}
@inproceedings{Cahyono2019The,
  author = {Cahyono, A.N. and Zaenuri and Subagja, M.},
  title = {The Design of Blended Learning Modules for Higher Education},
  journal = {Journal of Physics: Conference Series},
  booktitle = {Journal of Physics: Conference Series},
  year = {2019},
  volume = {1387},
  doi = {10.1088/1742-6596/1387/1/012121},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076393790&doi=10.1088%2f1742-6596%2f1387%2f1%2f012121&partnerID=40&md5=4e153b10b94ed3cc23cb64d2cf0cb881},
  note = {Cited by: 6; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Blending the traditional values of face-to-face teaching and the best practices of online learning becomes a way to face challenges in the fourth Industrial Revolution era. This study aimed to design blended learning modules for higher education. An explorative design research was conducted engaging lecturers in 69 study programs at Universitas Negeri Semarang. Data was collected through focussed group discussion, observation, a series of pilots and a debriefing session. The results concern standards for elements, regulations and quality assurance. Descriptions of the work processes and results are also explained in this paper. Designing blended learning modules must pay attention to the course material characteristics, learning management system features, supporting facilities, the lecturer roles in preparing and facilitating the courses, students' activities and their perception. This paper offers an alternative of design of online modules for blended learning in higher education. © 2019 IOP Publishing Ltd. All rights reserved.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.940150463},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {The Design of Blended Learning Modules for Higher Education},
  x_author = {Cahyono, A.N. and Zaenuri and Subagja, M.},
  x_year = {2019},
  x_doi = {10.1088/1742-6596/1387/1/012121},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076393790&doi=10.1088%2f1742-6596%2f1387%2f1%2f012121&partnerID=40&md5=4e153b10b94ed3cc23cb64d2cf0cb881}
}
@article{Comunale2022Consumer-Centric,
  author = {Comunale, Michael J. and Dermody, Terence S. and Peters, Michelle and Rudolph, Jeffrey A. and Sevco, Mark and Young, Seth},
  title = {Consumer-Centric Approach to Enhance Access to Pediatric Specialty Care},
  journal = {American Journal of Managed Care},
  year = {2022},
  volume = {28},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132686096&partnerID=40&md5=c4a6b7e83e37da87438b0e9547caf438},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {Objectives: Health systems must adapt to an increased consumer-centric environment to remain relevant in an ever-growing competitive health care landscape in which convenience is a key driver of patient satisfaction and loyalty. To adapt to this new environment, health systems must redesign processes to transform the delivery of ambulatory care and provide near real-time access to specialty care. Study Design: A pediatric academic medical center in western Pennsylvania used a process-improvement approach to enhance timely access to specialty care and deliver a consumer-centric patient experience. Methods: Critical factors in this process included engagement of key stakeholders, implementation of scheduling best practices, development of a set of scheduling guidelines, increased use of advanced practice providers, and use of data analytics to measure and benchmark performance. Results: The time to schedule a new patient appointment decreased from 42 to 4 days and the patient satisfaction access domain increased by 57 percentile points. Conclusions: These factors should scale to other institutions, thereby enabling generalizable results. © 2022 Ascend Media. All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0192708333},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Consumer-Centric Approach to Enhance Access to Pediatric Specialty Care},
  x_author = {Comunale, Michael J. and Dermody, Terence S. and Peters, Michelle and Rudolph, Jeffrey A. and Sevco, Mark and Young, Seth},
  x_journal = {American Journal of Managed Care},
  x_year = {2022},
  x_volume = {28},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132686096&partnerID=40&md5=c4a6b7e83e37da87438b0e9547caf438}
}
@inproceedings{George2019Information,
  author = {George, Aneta and Groza, Voicu},
  title = {Information analytics system database for uniform approach to continuous engineering program improvement},
  journal = {2019 15th International Conference on Engineering of Modern Electric Systems, EMES 2019},
  booktitle = {2019 15th International Conference on Engineering of Modern Electric Systems, EMES 2019},
  year = {2019},
  pages = {185 – 188},
  doi = {10.1109/EMES.2019.8795091},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072210477&doi=10.1109%2fEMES.2019.8795091&partnerID=40&md5=c3855f4a334250a0c376b49cdd67d8f2},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {The Graduate Attribute Information Analysis System (GAIA) developed at the University of Ottawa to support the use of assessment data analytics for ongoing improvement of students' performance and continuous program development was successfully implemented in the Fall of 2015. Since then GAIA serves three engineering programs - Computer, Electrical and Software Engineering programs at the School of Electrical Engineering and Computer Science. GAIA stores and processes assessment data since 2012 and generates systematic assessment reports at program and departmental levels. In this paper we discuss current system modifications that allow for developing of a uniform approach towards data collection, analysis and reporting for the three programs. We introduce the Extract-Transform-Load (ETL) processes in place for assessing common graduate attributes. A special attention is given to the data transformation processes supporting two special purpose reports: Graduate Attribute Report per Cohort (GAR/C) and Course Progression Report per Cohort (CPR/C). The former shows average graduate attribute assessment data per each attribute, while the latter tracks student achievements as students progress within the program. Both reports are simultaneously generated per program. The fine data granularity allows for ETL interaction among sustainable data marts within the main assessment database. In this context, we outline the different stages of data processing leading to a uniform approach to continuous engineering program improvement. The described approach of assessment data management supports engineering accreditation, informs continuous program development and adds to the historic data trend analysis at program and faculty level. Furthermore, it allows for generation of COOP Progress Reports per cohort (COOPR/C). © 2019 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0577083333},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Information analytics system database for uniform approach to continuous engineering program improvement},
  x_author = {George, Aneta and Groza, Voicu},
  x_year = {2019},
  x_pages = {185 – 188},
  x_doi = {10.1109/EMES.2019.8795091},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072210477&doi=10.1109%2fEMES.2019.8795091&partnerID=40&md5=c3855f4a334250a0c376b49cdd67d8f2}
}
@article{Alromaihi2023Impact,
  author = {Alromaihi, Ali Ateya Ali and Hamdan, Allam and Bakir, Ali},
  title = {Impact of Learning Digitization on Business Education Quality: The Moderating Role of International Accreditation Bodies},
  journal = {FIIB Business Review},
  year = {2023},
  doi = {10.1177/23197145231204112},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173787561&doi=10.1177%2f23197145231204112&partnerID=40&md5=7373642b5db6240d4287c1cf1672658d},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {The digitization of higher education (HE), particularly general and business education, is increasingly becoming a necessity in the post–COVID-19 pandemic period, forcing higher education institutions (HEIs) to switch to digital learning, with all of its accompanying challenges. This study focused on investigating the effect of digitizing HE learning on the quality of business education and the moderating influence of international accreditation bodies on this relationship. A questionnaire survey was used to collect data from a convenient sample of 232 business HEI faculties in the Kingdom of Bahrain. A simple regression analysis was used to test the study’s hypotheses. The findings indicate that learning management systems, student assessment and student interaction have a significant impact on the quality of education in a digital classroom setting. It was further found that international accreditation bodies have a significant positive moderating influence in maintaining and enhancing the quality of digital business education during pandemic and post-pandemic periods. Additionally, these bodies provide support to HEIs to help overcome challenges in ensuring the quality of digital learning. The implications and potential contributions of the study are discussed along with its limitations and areas for future research. © 2023 Fortune Institute of International Business.},
  document_type = {Article},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0533101852},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Impact of Learning Digitization on Business Education Quality: The Moderating Role of International Accreditation Bodies},
  x_author = {Alromaihi, Ali Ateya Ali and Hamdan, Allam and Bakir, Ali},
  x_journal = {FIIB Business Review},
  x_year = {2023},
  x_doi = {10.1177/23197145231204112},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173787561&doi=10.1177%2f23197145231204112&partnerID=40&md5=7373642b5db6240d4287c1cf1672658d}
}
@incollection{Tindale2023Connecting,
  author = {Tindale, Jen and Noakes, Sandra and Seymour, Elen and Lynch, Joan},
  title = {Connecting generic academic integrity modules to professional integrity through curriculum design},
  journal = {Academic Quality and Integrity in the New Higher Education Digital Environment: A Global Perspective},
  booktitle = {Academic Quality and Integrity in the New Higher Education Digital Environment: A Global Perspective},
  year = {2023},
  pages = {55 – 73},
  doi = {10.1016/B978-0-323-95423-5.00005-3},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166077305&doi=10.1016%2fB978-0-323-95423-5.00005-3&partnerID=40&md5=04a8baf17fd8e7b629f08c91ad7c93ff},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Many higher education providers have introduced online, academic integrity modules to maintain academic standards, control risks to quality, and demonstrate that students are aware of fundamental principles of academic integrity. In Australia, these modules assist providers in meeting regulatory requirements and controlling risks to the credibility of qualifications and institutional reputation. Often developed by academic librarians, generic academic integrity modules demonstrate the expertise librarians contribute to broader educative approaches to academic integrity. They are generally one of a range of institutional strategies to address risks posed by academic cheating services and other emerging challenges to academic integrity. Students are generally required to complete them as a prerequisite to enrollment or within a set period following enrollment. Failure to complete modules can lead to consequences for students, such as preventing them from enrolling in their chosen course, accessing the learning management system or receiving assessment results, or limiting further progression. Providers may benefit from economies of scale derived from centralized online modules and compulsory completion supports compliance. However, a punitive approach to noncompletion may not lead to the outcomes intended when completion is mandated, especially where outcomes are framed in general terms related to increasing awareness of academic integrity, perceptions of misconduct, or, in more specific terms, related to engagement in misconduct. Taking a “carrot” approach, where students see the relevance to their chosen discipline and profession, can support meaningful engagement, connecting students with professional standards and values rather than completing modules simply to avoid consequences for noncompletion. As part of an educative approach to academic integrity at the course or program level, this can add value by strengthening or leveraging existing systems of social regulation rather than undermining them. Framing outcomes with reference to professional accreditation standards can support internal quality assurance, overcoming some of the limits of external quality assurance. © 2023 Elsevier Ltd. All rights reserved.},
  document_type = {Book chapter},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0418981482},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Connecting generic academic integrity modules to professional integrity through curriculum design},
  x_author = {Tindale, Jen and Noakes, Sandra and Seymour, Elen and Lynch, Joan},
  x_year = {2023},
  x_pages = {55 – 73},
  x_doi = {10.1016/B978-0-323-95423-5.00005-3},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166077305&doi=10.1016%2fB978-0-323-95423-5.00005-3&partnerID=40&md5=04a8baf17fd8e7b629f08c91ad7c93ff}
}
@article{Ziefle2021Innovation,
  author = {Ziefle, Katrice and Koschmann, Kara S. and Colsch, Renee and Campbell, Jill and Graeve, Catherine},
  title = {Innovation and accreditation: A quality improvement process},
  journal = {Teaching and Learning in Nursing},
  year = {2021},
  volume = {16},
  pages = {265 – 268},
  doi = {10.1016/j.teln.2021.01.007},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104986776&doi=10.1016%2fj.teln.2021.01.007&partnerID=40&md5=f6bdaf1bb84a887eadda28432a18692d},
  note = {Cited by: 5},
  source = {Scopus},
  abstract = {Nursing program accreditation often has limited faculty engagement. This quality improvement project, implemented at a private university in the Midwestern United States, utilized innovative solutions including accreditation program champions and a learning management system to enhance faculty engagement in the accreditation process. Accreditation encompassed seven programs at three program degree levels: undergraduate, masters and doctorate. A survey measured overall engagement as well as the usefulness of accreditation program champions and the learning management system to improve engagement. Results showed increased faculty knowledge, professional development, and motivation in the accreditation process. Increased engagement not only accomplishes the work more efficiently, but also improves faculty knowledge of the process and preparation for the accreditation site visit. © 2021 Organization for Associate Degree Nursing},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.9366782407},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Innovation and accreditation: A quality improvement process},
  x_author = {Ziefle, Katrice and Koschmann, Kara S. and Colsch, Renee and Campbell, Jill and Graeve, Catherine},
  x_journal = {Teaching and Learning in Nursing},
  x_year = {2021},
  x_pages = {265 – 268},
  x_volume = {16},
  x_doi = {10.1016/j.teln.2021.01.007},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104986776&doi=10.1016%2fj.teln.2021.01.007&partnerID=40&md5=f6bdaf1bb84a887eadda28432a18692d}
}
@inproceedings{Palmieri2024Open,
  author = {Palmieri, Juan María and Cukierman, Uriel and Vendrell Vidal, Eduardo},
  title = {Open Digital Badges and Micro-accreditation in the International Engineering Educator Certification Program (IEECP)},
  journal = {Lecture Notes in Networks and Systems},
  booktitle = {Lecture Notes in Networks and Systems},
  year = {2024},
  volume = {901 LNNS},
  pages = {175 – 186},
  doi = {10.1007/978-3-031-53022-7_18},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185723120&doi=10.1007%2f978-3-031-53022-7_18&partnerID=40&md5=da697c9df9ca7b6aedb8317ed9b99fcc},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Open digital badges (OB) and micro-accreditation (MA) linked to micro-credentials (MC) are effective means for recognizing skills and competencies, of any kind, in an open, digital, and shareable way. Latin American engineering universities are currently discussing the benefits of using these strategies as a complement to the student’s final degree. In this scenario, the organizers of the International Engineering Educator Certification Program (IEECP) decided to address the use of OB in this program through its integration into a Moodle based Learning Management System (LMS). This paper describes the ongoing experience developed by the IGIP Accredited Training Center (ATC) InnovaHiEd Academy, regarding the use of OB in the IEECP, the motivation and educational decisions that led to the use of this open and universal method for the recognition of competencies, and its integration into the IEECP LMS. Moreover, this study presents evidence regarding the impact of OB and MA on the program teaching practices and participant’s engagement. This paper is expected to contribute as a reference for other investigations that address these topics, for those institutions interested in considering this approach in their learning programs and for other IGIP ATCs. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45524.8311805556},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Open Digital Badges and Micro-accreditation in the International Engineering Educator Certification Program (IEECP)},
  x_author = {Palmieri, Juan María and Cukierman, Uriel and Vendrell Vidal, Eduardo},
  x_year = {2024},
  x_pages = {175 – 186},
  x_doi = {10.1007/978-3-031-53022-7_18},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185723120&doi=10.1007%2f978-3-031-53022-7_18&partnerID=40&md5=da697c9df9ca7b6aedb8317ed9b99fcc}
}
@article{Robell2023Pac-12,
  author = {Robell, Kevin C. and Norcross, Marc F. and Bohr, Adam D. and Harmon, Kimberly G.},
  title = {Pac-12 Health Analytics Program: An Innovative Approach to Health Care Operations, Data Analytics, and Clinical Research in Intercollegiate Athletics},
  journal = {Journal of Athletic Training},
  year = {2023},
  volume = {58},
  pages = {655 – 663},
  doi = {10.4085/1062-6050-0063.22},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166564971&doi=10.4085%2f1062-6050-0063.22&partnerID=40&md5=9ccbf5a1fbd431e46de93e700755fc36},
  note = {Cited by: 4; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {The objective of this study was to describe the purpose, methods, and effects of the Pac-12 Health Analytics Program (HAP) approach on sports medicine informatics, research, analytics, and health care operations. Sports injury-surveillance initiatives have been supporting the clinical research community in sports medicine for nearly 4 decades. Whereas the initial systems tracked only a few sports, current surveillance programs have expanded to include entire professional and elite athlete organizations, providing important statistics on sports injury risk management. The HAP is a conference-wide data-sharing and-analytics program. It collects authorized, deidentified clinical data, encompassing multiple domains of sports medicine injury management, including sports injuries and illnesses, concussions, risk exposure, and COVID-19 testing elements. The HAP provides clinicians with access to curated data to inform evidence-based practice and support local health care operations with respect to emerging sports injury trends. The HAP supplies approved research groups with access to a data repository that describes a homogeneous, elite intercollegiate athlete sample, thereby supporting nonresearch clinical initiatives as well as contributions to peer-reviewed research that can improve the health and well-being of Pac-12 student-athletes. The HAP is a novel approach to sports injury epidemiology and surveillance that has allowed the Pac-12 Conference to meet larger objectives regarding improving the student-athlete experience and clinical research among its member schools. Data quality control has improved the accuracy of the data and value to clinical athletic trainers within the conference. Curated dashboards displaying aggregated project data offer clinicians data-driven decision-making tools that help inform sports injury risk management. As of 2021, the HAP had supported more than 3 dozen data requests. These investigations have resulted in numerous peer-reviewed research contributions to the sports medicine community with findings that have great potential to improve the health and well-being of Pac-12 student-athletes. © by the National Athletic Trainers’ Association, Inc.},
  document_type = {Article},
  selection_criteria = {Estudios disponibles de forma gratuita o a través de bases de datos accesibles},
  created_at = {45522.0029166667},
  updated_at = {45526.9337962963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Pac-12 Health Analytics Program: An Innovative Approach to Health Care Operations, Data Analytics, and Clinical Research in Intercollegiate Athletics},
  x_author = {Robell, Kevin C. and Norcross, Marc F. and Bohr, Adam D. and Harmon, Kimberly G.},
  x_journal = {Journal of Athletic Training},
  x_year = {2023},
  x_pages = {655 – 663},
  x_volume = {58},
  x_doi = {10.4085/1062-6050-0063.22},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166564971&doi=10.4085%2f1062-6050-0063.22&partnerID=40&md5=9ccbf5a1fbd431e46de93e700755fc36}
}
@article{Syed2020Integrated,
  author = {Syed, Khajamoinuddin and Sleeman, William and Ivey, Kevin and Hagan, Michael and Palta, Jatinder and Kapoor, Rishabh and Ghosh, Preetam},
  title = {Integrated natural language processing and machine learning models for standardizing radiotherapy structure names},
  journal = {Healthcare (Switzerland)},
  year = {2020},
  volume = {8},
  doi = {10.3390/healthcare8020120},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100698618&doi=10.3390%2fhealthcare8020120&partnerID=40&md5=765c75fecfeafd94841963d15181b3ae},
  note = {Cited by: 16; All Open Access, Gold Open Access, Green Open Access},
  source = {Scopus},
  abstract = {The lack of standardized structure names in radiotherapy (RT) data limits interoperability, data sharing, and the ability to perform big data analysis. To standardize radiotherapy structure names, we developed an integrated natural language processing (NLP) and machine learning (ML) based system that can map the physician-given structure names to American Association of Physicists in Medicine (AAPM) Task Group 263 (TG-263) standard names. The dataset consist of 794 prostate and 754 lung cancer patients across the 40 different radiation therapy centers managed by the Veterans Health Administration (VA). Additionally, data from the Radiation Oncology department at Virginia Commonwealth University (VCU) was collected to serve as a test set. Domain experts identified as anatomically significant nine prostate and ten lung organs-at-risk (OAR) structures and manually labeled them according to the TG-263 standards, and remaining structures were labeled as Non_OAR. We experimented with six different classification algorithms and three feature vector methods, and the final model was built with fastText algorithm. Multiple validation techniques are used to assess the robustness of the proposed methodology. The macro-averaged F1 score was used as the main evaluation metric. The model achieved an F1 score of 0.97 on prostate structures and 0.99 for lung structures from the VA dataset. The model also performed well on the test (VCU) dataset, achieving an F1 score of 0.93 for prostate structures and 0.95 on lung structures. In this work, we demonstrate that NLP and ML based approaches can used to standardize the physician-given RT structure names with high fidelity. This standardization can help with big data analytics in the radiation therapy domain using population-derived datasets, including standardization of the treatment planning process, clinical decision support systems, treatment quality improvement programs, and hypothesis-driven clinical research. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0235763889},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Integrated natural language processing and machine learning models for standardizing radiotherapy structure names},
  x_author = {Syed, Khajamoinuddin and Sleeman, William and Ivey, Kevin and Hagan, Michael and Palta, Jatinder and Kapoor, Rishabh and Ghosh, Preetam},
  x_journal = {Healthcare (Switzerland)},
  x_year = {2020},
  x_volume = {8},
  x_doi = {10.3390/healthcare8020120},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100698618&doi=10.3390%2fhealthcare8020120&partnerID=40&md5=765c75fecfeafd94841963d15181b3ae}
}
@inproceedings{Ncubukezi2020Influence,
  author = {Ncubukezi, Tabisa and Daramola, Olawande},
  title = {Influence of e-learning via blackboard on the learning experiences of late bloomers in information technology},
  journal = {Proceedings of the European Conference on e-Learning, ECEL},
  booktitle = {Proceedings of the European Conference on e-Learning, ECEL},
  year = {2020},
  volume = {2020-October},
  pages = {365 – 373},
  doi = {10.34190/EEL.20.017},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097603244&doi=10.34190%2fEEL.20.017&partnerID=40&md5=36c13b8a6d61262f8cad651d74bdb50c},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {This paper reports the influence of the Blackboard learning management system (LMS) for e-learning and learning experiences of students that are regarded as late bloomers in Information Technology (IT). This is because the majority of them did not have exposure to elaborate IT systems until their first year at the University. A quantitative study that involved 120 students of Information Technology in a South African University was conducted using an online survey. The aim was to determine how the perceived self-efficacy of late bloomers in IT influenced their attitude and performance on Blackboard LMS, which was the platform for their e-learning and the overall learning experiences of the study. The data collected were analyzed using descriptive statistics. The findings of the study revealed that the majority of students (over 70%) believed that earlier exposure to e-learning systems aided their ability to use Blackboard and their e-learning experience. About 50% believed that late exposure to IT hindered their e-learning via Blackboard. 55% believed that Blackboard helped them to obtain a good learning experience, and a lack of prior exposure to similar e-learning systems was not a significant disadvantage. More than 60% believed that they generally attained efficiency and flexibility of learning through e-learning via Blackboard, which produced a generally good learning experience. The study found that three sources of self-efficacy, which are prior experience, vicarious experience, and social persuasion, correlate positively with the e-learning experience of LBIT via BB. The study also provides recommendations for process improvement in the use of Blackboard for e-learning for late bloomers in IT. © 2020 Academic Conferences Limited. All rights reserved.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0231712963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Influence of e-learning via blackboard on the learning experiences of late bloomers in information technology},
  x_author = {Ncubukezi, Tabisa and Daramola, Olawande},
  x_year = {2020},
  x_pages = {365 – 373},
  x_doi = {10.34190/EEL.20.017},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097603244&doi=10.34190%2fEEL.20.017&partnerID=40&md5=36c13b8a6d61262f8cad651d74bdb50c}
}
@article{Sahoo2020Utilization,
  author = {Sahoo, Kalyan Kumar and Mishra, Padma Charan and Reddy, Rayalacheruvu Venkatamuni},
  title = {Utilization of moodle in teaching undergraduate students in West Africa; [Особенности использования платформы MOODLE в обучении студентов уровня бакалавриата в Западной Африке]},
  journal = {Integration of Education},
  year = {2020},
  volume = {24},
  pages = {552 – 560},
  doi = {10.15507/1991-9468.101.024.202004.552-560},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098982071&doi=10.15507%2f1991-9468.101.024.202004.552-560&partnerID=40&md5=9c7c29b0aa333c9028473004fb4982a6},
  note = {Cited by: 1; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Introduction. Teaching pedagogy has become more advanced and techno friendly. The goal of this study is to inspect effectiveness of e-LMS (learning management system) prevalent for students of West African University, mainly at Private University Colleges. Materials and Methods. The samples were collected from Ghana, Nigeria, Sierra Leone, Togo and Benin. The research design is based on a survey method. Data were collected from 435-undergraduate students using questionnaires out of which 410-were found useful. Results. The result hints towards enhancing infrastructure for technology, more seminars and encouraging students to use the same. Discussion and Conclusion. Efficient use of LMS ought to be on obligatory institutional objectives and policies. The study recommends integration of LMS in curricula of undergraduate students of West African countries. The study further recommends efficient and useful information technology education to be made mandatory institutional policy for students and criteria for getting accreditation for organization. © 2020 National Research Ogarev Mordovia State University. All rights reserved.},
  document_type = {Review},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0268518519},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Utilization of moodle in teaching undergraduate students in West Africa; [Особенности использования платформы MOODLE в обучении студентов уровня бакалавриата в Западной Африке]},
  x_author = {Sahoo, Kalyan Kumar and Mishra, Padma Charan and Reddy, Rayalacheruvu Venkatamuni},
  x_journal = {Integration of Education},
  x_year = {2020},
  x_pages = {552 – 560},
  x_volume = {24},
  x_doi = {10.15507/1991-9468.101.024.202004.552-560},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098982071&doi=10.15507%2f1991-9468.101.024.202004.552-560&partnerID=40&md5=9c7c29b0aa333c9028473004fb4982a6}
}
@article{Kalim2023Understanding,
  author = {Kalim, Usama and Bibi, Saira},
  title = {Understanding data-driven decision making approach in Chinese higher education through the lens of Bakers model},
  journal = {International Journal of Chinese Education},
  year = {2023},
  volume = {12},
  doi = {10.1177/2212585X231162120},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150068734&doi=10.1177%2f2212585X231162120&partnerID=40&md5=bb0db51c053beaa9d0204f3097de6015},
  note = {Cited by: 2; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Making decisions based on data is evolving in higher education worldwide. Higher education institutions (HEIs) in China are also adopting this trend of data-driven decision making to improve the quality standards in higher education. However, the data-driven decision making (DDDM) approach has recently evolved in China, and the data based decision-making models are still immature. Therefore, this study investigates the DDDM approach of Chinese HEIs through an established theoretical data model lens to highlight some of its immaturities and weaknesses for improvement. The study analyzes the DDDM approach in Chinese higher education by exploring the data-mining practices of a case study university. A leading Chinese university has been taken as a sample case study. The multiple interviews have been taken at both faculty and university levels to explore the DDDM practices. The results suggest that the Chinese university DDDM approach is consistent with the established Bakers model. However, the scope of data mining is limited in some areas when compared with the theoretical model. The university is also behind in using advanced applications and software required for DDDM. The results of this study highlight the DDDM approach in Chinese higher education and some of its immaturity. The results can be used to improve the DDDM approach in Chinese HEIs further to ensure more effective and efficient decision-making. © The Author(s) 2023.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45526.9267361111},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Understanding data-driven decision making approach in Chinese higher education through the lens of Bakers model},
  x_author = {Kalim, Usama and Bibi, Saira},
  x_journal = {International Journal of Chinese Education},
  x_year = {2023},
  x_volume = {12},
  x_doi = {10.1177/2212585X231162120},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150068734&doi=10.1177%2f2212585X231162120&partnerID=40&md5=bb0db51c053beaa9d0204f3097de6015}
}
@inproceedings{Tzimas2021The,
  author = {Tzimas, Dimitrios and Demetriadis, Stavros},
  title = {The Impact of Learning Analytics on Student Performance and Satisfaction in a Higher Education Course},
  journal = {Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021},
  booktitle = {Proceedings of the 14th International Conference on Educational Data Mining, EDM 2021},
  year = {2021},
  pages = {654 – 660},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174841452&partnerID=40&md5=574cf60fabfe0850682c3534830c6fbf},
  note = {Cited by: 4},
  source = {Scopus},
  abstract = {Learning analytics (LA) is collecting, processing, and visualization of big data to optimize learning. This article aims to interpret the impact of analyzing learning data for tertiary education. The article describes a semester-long mixed methods study for 63 students enrolled in a Greek technical university laboratory, retrieving data from the learning management system (LMS). We applied minimal LA guidance in the experimental group and no LA guidance in the control group. The research questions are as follows: Can a student-facing learning analytics approach at minimal level guidance improve students' LMS access and learning performance levels? Are the students' LMS access, discussion forums, and submitted assignments, critical predictors for students' course grades? What are students' opinions about learning analytics as a tool for data-driven decision-making strategy? The study followed the do-analyze-change-reflect LA model. The data collected included students' time spent on LMS, exercises, and discussion posts, while the dependent variable was the course grade. Results indicate that it increased the students' LMS access and satisfaction when we applied LA but not their final grade. Future research could apply higher effort interventions and stronger teacher guidance to provide insights into student performance, engagement, and satisfaction. © EDM 2021.All rights reserved.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0253703704},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {The Impact of Learning Analytics on Student Performance and Satisfaction in a Higher Education Course},
  x_author = {Tzimas, Dimitrios and Demetriadis, Stavros},
  x_year = {2021},
  x_pages = {654 – 660},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174841452&partnerID=40&md5=574cf60fabfe0850682c3534830c6fbf}
}
@inproceedings{Wijayaningrum2022Prediction,
  author = {Wijayaningrum, Vivi Nur and Kirana, Annisa Puspa and Putri, Ika Kusumaning and Satrio, Titis Octary},
  title = {Prediction of Student Academic Performance in Practicum Courses Based on Activity Logs and Student Background},
  journal = {Proceedings - IEIT 2022: 2022 International Conference on Electrical and Information Technology},
  booktitle = {Proceedings - IEIT 2022: 2022 International Conference on Electrical and Information Technology},
  year = {2022},
  pages = {366 – 371},
  doi = {10.1109/IEIT56384.2022.9967888},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144630019&doi=10.1109%2fIEIT56384.2022.9967888&partnerID=40&md5=568de81b5cce9cef756198032180e828},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {Vocational Colleges have a higher proportion of practicum courses compared to theoretical because graduates are expected to have the expertise and skills according to their respective fields and are ready to work. Unfortunately, students cannot take short semesters like at university or repeat specific courses in the following semester because of the package system in each semester. Students who get poor grades in practicum courses in one semester have the potential to drop out. However, the number of students who drop out each year will affect the accreditation value of a university. Therefore, this study proposes a system to predict student academic performance in practicum courses based on grades, activity logs, and student backgrounds. A total of 84 data were obtained from the Student Academic Information System (SIAKAD), Learning Management System (LMS), and student surveys. The Multi-Layer Perceptron algorithm is used to form a model that can produce two class outputs, namely students who have the potential to drop out and do not have the potential to drop out. The test results show that modeling using both k-fold cross validation and a training and test data combination gives an average accuracy value and F1-Score above 0.8, which means the classification results are categorized as good. With this good accuracy result, predictions of student academic performance can be used as a decision support tool to prevent dropout students. © 2022 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0675},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Prediction of Student Academic Performance in Practicum Courses Based on Activity Logs and Student Background},
  x_author = {Wijayaningrum, Vivi Nur and Kirana, Annisa Puspa and Putri, Ika Kusumaning and Satrio, Titis Octary},
  x_year = {2022},
  x_pages = {366 – 371},
  x_doi = {10.1109/IEIT56384.2022.9967888},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144630019&doi=10.1109%2fIEIT56384.2022.9967888&partnerID=40&md5=568de81b5cce9cef756198032180e828}
}
@article{Abebe2023Maximizing,
  author = {Abebe, Ephrem and Bao, Amy and Kokkinias, Peter and Russ-Jara, Alissa L. and Degnan, Dan},
  title = {Maximizing student potential: Lessons for pharmacy programs from the patient safety movement},
  journal = {Exploratory Research in Clinical and Social Pharmacy},
  year = {2023},
  volume = {9},
  doi = {10.1016/j.rcsop.2022.100216},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148568664&doi=10.1016%2fj.rcsop.2022.100216&partnerID=40&md5=e0132e7db5c33dc796c853c89cae6f66},
  note = {Cited by: 1; All Open Access, Gold Open Access, Green Open Access},
  source = {Scopus},
  abstract = {Higher education institutions (HEIs), including pharmacy programs, are experiencing growing pressure from the public and policy makers to develop student-centered learning experiences that meet societal needs. While HEIs may have in-house initiatives to meet such challenges, there are also opportunities for cross-domain learning and application of useful concepts from other sectors. One such sector that lends itself to cross-domain learning is the healthcare industry. Like HEIs, the healthcare industry has been experiencing pressure from its stakeholders, in this case, to address patient safety gaps. These forces intensified at the turn of the century leading to the emergence of what is now known as the patient safety movement, which enabled increased advocacy, education, and research to reduce healthcare-related harm. Despite persistent challenges, a key achievement of the patient safety movement has been application of a systems framework to understand and solve patient safety gaps. That is, patient safety gaps are often a result of system defects rather than isolated acts of individual workers operating in a complex social and technical work setting (often referred to as sociotechnical system). Commonly used systems frameworks describe a sociotechnical system through its components: 1) structure (e.g., people, tools/technology, physical workspaces); 2) processes (e.g., medication administration); and 3) outcomes (e.g., medication safety, patient satisfaction). At their core, both HEIs and healthcare organizations are complex sociotechnical systems that organize their structures to support specific processes - learning in HEIs and patient safety in healthcare - to ultimately improve outcomes for students and patients, respectively. This paper describes parallels between HEIs and the healthcare domain to illustrate how patient safety concepts and practices from healthcare can be adapted to HEIs in order to enhance educational structures, processes, and learning outcomes. © 2022 The Authors},
  document_type = {Note},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45522.0029166667},
  updated_at = {45522.0237731482},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Maximizing student potential: Lessons for pharmacy programs from the patient safety movement},
  x_author = {Abebe, Ephrem and Bao, Amy and Kokkinias, Peter and Russ-Jara, Alissa L. and Degnan, Dan},
  x_journal = {Exploratory Research in Clinical and Social Pharmacy},
  x_year = {2023},
  x_volume = {9},
  x_doi = {10.1016/j.rcsop.2022.100216},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148568664&doi=10.1016%2fj.rcsop.2022.100216&partnerID=40&md5=e0132e7db5c33dc796c853c89cae6f66}
}
@inproceedings{Abaya2024DAT,
  author = {Abaya, Sheila A. and De Guzman, Froilan E.},
  title = {DAT (Data Analytics Tool): A Data-Driven Decision-Making Tool for Data Analytics},
  journal = {2024 12th International Conference on Information and Education Technology, ICIET 2024},
  booktitle = {2024 12th International Conference on Information and Education Technology, ICIET 2024},
  year = {2024},
  pages = {402 – 406},
  doi = {10.1109/ICIET60671.2024.10542809},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196057044&doi=10.1109%2fICIET60671.2024.10542809&partnerID=40&md5=e0ec170f79b79c29691218ebcc8b27f4},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Data Analytics Tool (DAT) is an application that collects and analyzes data in order to improve business processes and aid in discovering hidden trends and patterns thereby uncovering insights to make future data-driven and intelligent decisions. This project is aligned with the business and data analytic courses content of the University and intended to be used by the faculty members and students enrolled in these courses. With the utilization of DAT, the users can uniformly use it in simulating business analytics with the given data set. DAT development was based on the principles of lean methodology. Various technologies incorporated in the application were: data mining, statistical measures, forecasting, and decision analysis methods. These tools were implemented using Visual Studio and coded using C# because of its flexibility. DAT was evaluated for its effectiveness and efficiency as a data analytic tool for faculty members and students using the ISO/IEC 20510 software quality assurance standard with the factors: functional suitability, performance efficiency, compatibility, usability, and reliability. The weighted mean results per criterion were computed, and interpreted using the Likert scale model and resulted in the acceptability rate of the respondents © 2024 IEEE.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0421990741},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {DAT (Data Analytics Tool): A Data-Driven Decision-Making Tool for Data Analytics},
  x_author = {Abaya, Sheila A. and De Guzman, Froilan E.},
  x_year = {2024},
  x_pages = {402 – 406},
  x_doi = {10.1109/ICIET60671.2024.10542809},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196057044&doi=10.1109%2fICIET60671.2024.10542809&partnerID=40&md5=e0ec170f79b79c29691218ebcc8b27f4}
}
@incollection{Al-Nuaimi2021An,
  author = {Al-Nuaimi, Maryam Nasser},
  title = {An integrated conceptual model for understanding the adoption of learning management systems in higher education during the covid-19 outbreak},
  journal = {Studies in Systems, Decision and Control},
  booktitle = {Studies in Systems, Decision and Control},
  year = {2021},
  volume = {335},
  pages = {29 – 40},
  doi = {10.1007/978-3-030-64987-6_3},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102757159&doi=10.1007%2f978-3-030-64987-6_3&partnerID=40&md5=32a0cb45143c9104b7a775ec2189fa0d},
  note = {Cited by: 5},
  source = {Scopus},
  abstract = {Regardless of the varying rates of the novel coronavirus COVID-19 outbreak worldwide, the vast majority of countries have deployed distance e-learning alternatives to flatten the trajectory of the disease proliferation. Despite that, various challenges emerge while endeavoring to deliver purely online education under the emergency lockdowns of all educational institutions with a specific focus on tertiary educational campuses. Online learning has fully substituted the blended modalities of learning prevalent in the period preceding the coronavirus crisis. Thence, the need to examine the factors influencing the full adoption of Learning Management Systems (LMS) in higher education institutions has become even more insisting. Higher education institutions are obliged not to compromise quality assurance benchmarks under exceptional pandemic circumstances accompanying home quarantine encapsulated with anxiety and uncertainty. This theoretical chapter’s chief objective is to construct and adopt a hybrid theoretical framework driven from the most comprehensive technology acceptance and information systems success models. This chapter’s value lies in proposing an extended model to be validated in subsequent studies to examine the factors influencing LMS adoption under epidemic circumstances. © Springer Nature Switzerland AG 2021.},
  document_type = {Book chapter},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45522.0029166667},
  updated_at = {45522.0361111111},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {An integrated conceptual model for understanding the adoption of learning management systems in higher education during the covid-19 outbreak},
  x_author = {Al-Nuaimi, Maryam Nasser},
  x_year = {2021},
  x_pages = {29 – 40},
  x_doi = {10.1007/978-3-030-64987-6_3},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102757159&doi=10.1007%2f978-3-030-64987-6_3&partnerID=40&md5=32a0cb45143c9104b7a775ec2189fa0d}
}
@article{Mohamed2021Malcolm,
  author = {Mohamed, Zulkifli and Yusoff, Muhammad Saiful Anuar},
  title = {Malcolm Baldrige Approach in University Management: An Importance – Performance Matrix Analysis (IPMA)},
  journal = {Asian Journal of University Education},
  year = {2021},
  volume = {17},
  pages = {273 – 282},
  doi = {10.24191/AJUE.V17I2.13408},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111370636&doi=10.24191%2fAJUE.V17I2.13408&partnerID=40&md5=ae51dfb1a639d57db2f2cf5106cee1a1},
  note = {Cited by: 4; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Academic management is an important activity in managing a university. Failure in managing academic and student affairs can void a university credibility and program accreditation by MQA. Ineffective management approach will halt the university’s progress in achieving the academic excellence and creating Society 5.0. To overcome the issue, various approaches can be applied and one of them is the Malcolm Baldrige National Quality Award (MBNQA) approach which includes six important elements in management. Malcolm Baldridge model emphasizes Leadership role, Strategic Management, Customer Focus, Data Measurement, Human Resource Focus and Work Process in order to improve organizational performance (Result). However, there is a question on what factors should be given the priority in ensuring excellence in organizational management. Therefore, this study has been conducted in order to see what is the main factor among these six elements in MBNQA approach that is considered more important in achieving organizational goals. A sample of study have been conducted on 129 staffs in Universiti Teknologi MARA Kelantan Campus (UiTMCK). Hypothesis testing revealed that 5 out of 6 factors of management elements are having a positive relationship. While IPMA analysis shows that the Human Resource Focus is the most important factor, followed by Data Measurement, Work Process Focus and Customer Focus factors that influence the effectiveness of organization. Leadership factor gained the highest performance despite its less importance compared to other factors in IPMA analysis. © 2021. All Rights Reserved.},
  document_type = {Article},
  author_keywords = {Academic management; Customer focus; Data management; IPMA; Leadership; Malcolm Baldrige},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45499.9006365741},
  updated_at = {45521.9983912037},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Malcolm Baldrige Approach in University Management: An Importance – Performance Matrix Analysis (IPMA)},
  x_author = {Mohamed, Zulkifli and Yusoff, Muhammad Saiful Anuar},
  x_journal = {Asian Journal of University Education},
  x_year = {2021},
  x_pages = {273 – 282},
  x_volume = {17},
  x_doi = {10.24191/AJUE.V17I2.13408},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111370636&doi=10.24191%2fAJUE.V17I2.13408&partnerID=40&md5=ae51dfb1a639d57db2f2cf5106cee1a1}
}
@article{Rosa2022Learning,
  author = {Rosa, Maria J. and Williams, James and Claeys, Joke and Kane, David and Bruckmann, Sofia and Costa, Daniela and Rafael, José Alberto},
  title = {Learning analytics and data ethics in performance data management: a benchlearning exercise involving six European universities},
  journal = {Quality in Higher Education},
  year = {2022},
  volume = {28},
  pages = {65 – 81},
  doi = {10.1080/13538322.2021.1951455},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125709787&doi=10.1080%2f13538322.2021.1951455&partnerID=40&md5=70e068050886b20f48253770dd0bf9a6},
  note = {Cited by: 5},
  source = {Scopus},
  abstract = {Drawn from the SQELT Erasmus+ project, this article explores how learning analytics is implemented at a set of six European universities in the context of their performance data management models, including its multiple functions and ethical issues. It further identifies possible good practice and policy recommendations at decision-making level. Results show that learning analytics is present to a certain extent in all six institutions, although mostly based on traditional data and still lacking predictive capacity concerning students’ performance. Learning analytics is viewed as useful in providing more accurate personal data on students’ learning, contributing to the establishment of more sophisticated quality management systems. The European General Data Protection Regulation and national privacy laws sufficiently cover the majority of data ethics risks posed by learning analytics. Overall, learning analytics entails both opportunities and threats. The possibilities of a learning analytics approach deserve further attention within universities and quality assurance agencies. © 2021 Informa UK Limited, trading as Taylor & Francis Group.},
  document_type = {Article},
  author_keywords = {Learning analytics; learning and teaching; performance data management; performance indicators; quality assurance},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45499.9006365741},
  updated_at = {45521.9974189815},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Learning analytics and data ethics in performance data management: a benchlearning exercise involving six European universities},
  x_author = {Rosa, Maria J. and Williams, James and Claeys, Joke and Kane, David and Bruckmann, Sofia and Costa, Daniela and Rafael, José Alberto},
  x_journal = {Quality in Higher Education},
  x_year = {2022},
  x_pages = {65 – 81},
  x_volume = {28},
  x_doi = {10.1080/13538322.2021.1951455},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125709787&doi=10.1080%2f13538322.2021.1951455&partnerID=40&md5=70e068050886b20f48253770dd0bf9a6}
}
@article{Yu2019Interpretation,
  author = {Yu, Canqing and Liu, Yaning and Lyu, Jun and Bian, Zheng and Tan, Yunlong and Guo, Yu and Tang, Haijing and Yang, Xu and Li, Liming},
  title = {Interpretation for the group standards in data management for large population-based cohorts},
  journal = {Chinese Journal of Endemiology},
  year = {2019},
  volume = {40},
  pages = {17 – 19},
  doi = {10.3760/cma.j.issn.0254-6450.2019.01.005},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059972341&doi=10.3760%2fcma.j.issn.0254-6450.2019.01.005&partnerID=40&md5=b234e1d2e71e5259179bdb46e6be3a0f},
  note = {Cited by: 4},
  source = {Scopus},
  abstract = {Precision medicine became the key strategy in development priority of science and technology in China. The large population-based cohorts become valuable resources in preventing and treating major diseases in the population, which can contribute scientific evidence for personalized treatment and precise prevention. The fundamental question of the achievements above, therefore, is how to construct a large population-based cohort in a standardized way. The Chinese Preventive Medicine Association co-ordinated experienced researchers from Peking University and other well-known institutes to write up two group standards Technical specification of data processing for large population-based cohort study (T/CPMA 001-2018) and Technical specification of data security for large population-based cohort study (T/CPMA 002-2018), on data management. The standards are drafted with principles of emphasizing their scientific, normative, feasible, and generalizable nature. In these two standards, the key principles are proposed, and technical specifications are recommended in data standardization, cleansing, quality control, data integration, data privacy protection, and database security and stability management in large cohort studies. The standards aim to guide the large population-based cohorts that have been or intended to be established in China, including national cohorts, regional population cohorts, and special population cohorts, hence, to improve domestic scientific research level and the international influence, and to support decision-making and practice of disease prevention and control. © 2019 Chinese Medical Association. All rights reserved.},
  document_type = {Article},
  author_keywords = {Cohort study; Data processing; Data security; Group standard; Technical specification},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45499.9006365741},
  updated_at = {45521.994837963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Interpretation for the group standards in data management for large population-based cohorts},
  x_author = {Yu, Canqing and Liu, Yaning and Lyu, Jun and Bian, Zheng and Tan, Yunlong and Guo, Yu and Tang, Haijing and Yang, Xu and Li, Liming},
  x_journal = {Chinese Journal of Endemiology},
  x_year = {2019},
  x_pages = {17 – 19},
  x_volume = {40},
  x_doi = {10.3760/cma.j.issn.0254-6450.2019.01.005},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059972341&doi=10.3760%2fcma.j.issn.0254-6450.2019.01.005&partnerID=40&md5=b234e1d2e71e5259179bdb46e6be3a0f}
}
@inproceedings{Liang2020Research,
  author = {Liang, Jing},
  title = {Research on the Quality Evaluation of Higher Education Information Management Based on Weighted Topsis},
  journal = {Proceedings - 2020 5th International Conference on Smart Grid and Electrical Automation, ICSGEA 2020},
  booktitle = {Proceedings - 2020 5th International Conference on Smart Grid and Electrical Automation, ICSGEA 2020},
  year = {2020},
  pages = {380 – 387},
  doi = {10.1109/ICSGEA51094.2020.00088},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098530646&doi=10.1109%2fICSGEA51094.2020.00088&partnerID=40&md5=d1ee888447831b5e20e24e5abd6200b7},
  note = {Cited by: 5},
  source = {Scopus},
  abstract = {At present, there is a large amount of information in colleges and universities, and the traditional information management methods cannot meet the needs of the reform and development. On the current teaching management pattern characteristics of mining information acquisition, information construct diversified teaching quality management system, further to a comprehensive evaluation of information management in colleges and universities teaching quality evaluation specification parameters, combined with analytic hierarchy process and weighted TOPSIS method to optimize the evaluation method, the realization of information management system of higher education quality evaluation. The experimental results show that this method has high practical value and fully meets the research requirements. © 2020 IEEE.},
  document_type = {Conference paper},
  author_keywords = {higher education; information management; quality evaluation; weighted TOPSIS},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45499.9006365741},
  updated_at = {45521.9696875},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Research on the Quality Evaluation of Higher Education Information Management Based on Weighted Topsis},
  x_author = {Liang, Jing},
  x_year = {2020},
  x_pages = {380 – 387},
  x_doi = {10.1109/ICSGEA51094.2020.00088},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098530646&doi=10.1109%2fICSGEA51094.2020.00088&partnerID=40&md5=d1ee888447831b5e20e24e5abd6200b7}
}
@inproceedings{Dsouza2023Institutional,
  author = {Dsouza, Chris and Gupta, Rhea and Pradhan, Sarah and Shaikh, Phiroj},
  title = {Institutional Accreditation Data Analysis And Decision-Making System},
  journal = {Proceedings of 3rd International Conference on Advanced Computing Technologies and Applications, ICACTA 2023},
  booktitle = {Proceedings of 3rd International Conference on Advanced Computing Technologies and Applications, ICACTA 2023},
  year = {2023},
  doi = {10.1109/ICACTA58201.2023.10393491},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184806890&doi=10.1109%2fICACTA58201.2023.10393491&partnerID=40&md5=006939c0e6156fa3257624a1e4494148},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {This paper highlights the implementation of the National Accreditation System's fifth criteria and its application to ensure quality assurance standards are met by the University. The authors provide an overview of recent advancements in the Institute's Special Faculty Administrative Region and examine how they relate to neighbouring institutes' engineering practices. The paper concludes with the author's observations on the interplay between different institutes in India with regard to accreditation criteria. Specifically, the paper delves into the contents of Self-Assessment Reports, the process of developing them, challenges encountered during their creation, as well as the advantages and features of the Accreditation Data Management © 2023 IEEE.},
  document_type = {Conference paper},
  author_keywords = {accreditation; Accreditation data management system (ADMS); required faculty; Self-Assesment Report (SAR); student faculty ratio},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45499.9006365741},
  updated_at = {45521.9938078704},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Institutional Accreditation Data Analysis And Decision-Making System},
  x_author = {Dsouza, Chris and Gupta, Rhea and Pradhan, Sarah and Shaikh, Phiroj},
  x_year = {2023},
  x_doi = {10.1109/ICACTA58201.2023.10393491},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85184806890&doi=10.1109%2fICACTA58201.2023.10393491&partnerID=40&md5=006939c0e6156fa3257624a1e4494148}
}
@inproceedings{Luo2021Impact,
  author = {Luo, Qinglan and Zhao, Ying},
  title = {Impact of Education with Chinese Feature Reform of Management Courses Based on Big Data Analysis on Employment Quality of College Students},
  journal = {Advances in Intelligent Systems and Computing},
  booktitle = {Advances in Intelligent Systems and Computing},
  year = {2021},
  volume = {1282},
  pages = {295 – 300},
  doi = {10.1007/978-3-030-62743-0_42},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097240925&doi=10.1007%2f978-3-030-62743-0_42&partnerID=40&md5=5ee6b46e35f1f0008742357f6d7ba113},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {Big Data era to our lives has brought a revolutionary change. The rapid development of science and technology and society has put forward higher requirements for the comprehensive quality and Education with Chinese Feature education of management college students. In this case, management teachers must fully understand the current teaching style of management in universities, fully grasp the requirements and characteristics of Education with Chinese Feature education of management college students, and constantly adjust the Education with Chinese Feature teaching structure of current management courses. And the use of large data and multimedia teaching methods of political education practice teaching management courses thought. The purpose of this paper is to study the quality of employment for the students in the course of Education with Chinese Feature reform analyze large data management classes. It provides methods and solutions for education reform and management in universities Education with Chinese Feature course the big data era. This article on how to promote the proper use of large data Education with Chinese Feature education and management in universities Education with Chinese Feature curriculum reform and management of college students conducted a comprehensive study of the system. And the quality of employment data research, research results shows that the Education with Chinese Feature reform curriculum management class big data analysis of employment quality students than traditional college students the quality of employment is higher by 16.8%. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.},
  document_type = {Conference paper},
  author_keywords = {Big data analysis; College student employment; Education with Chinese Feature; Employment quality},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45499.9006365741},
  updated_at = {45521.9891550926},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Impact of Education with Chinese Feature Reform of Management Courses Based on Big Data Analysis on Employment Quality of College Students},
  x_author = {Luo, Qinglan and Zhao, Ying},
  x_year = {2021},
  x_pages = {295 – 300},
  x_doi = {10.1007/978-3-030-62743-0_42},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097240925&doi=10.1007%2f978-3-030-62743-0_42&partnerID=40&md5=5ee6b46e35f1f0008742357f6d7ba113}
}
@article{Vazquez2022Globally,
  author = {Vazquez, Pavel and Hirayama-Shoji, Kayoko and Novik, Steffen and Krauss, Stefan and Rayner, Simon},
  title = {Globally Accessible Distributed Data Sharing (GADDS): A decentralized FAIR platform to facilitate data sharing in the life sciences},
  journal = {Bioinformatics},
  year = {2022},
  volume = {38},
  pages = {3812 – 3817},
  doi = {10.1093/bioinformatics/btac362},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135700381&doi=10.1093%2fbioinformatics%2fbtac362&partnerID=40&md5=b9f2aea0f935ba234e6388b27ac958ce},
  note = {Cited by: 1; All Open Access, Green Open Access, Hybrid Gold Open Access},
  source = {Scopus},
  abstract = {Motivation: Technical advances have revolutionized the life sciences and researchers commonly face challenges associated with handling large amounts of heterogeneous digital data. The Findable, Accessible, Interoperable and Reusable (FAIR) principles provide a framework to support effective data management. However, implementing this framework is beyond the means of most researchers in terms of resources and expertise, requiring awareness of metadata, policies, community agreements and other factors such as vocabularies and ontologies. Results: We have developed the Globally Accessible Distributed Data Sharing (GADDS) platform to facilitate FAIR-like data-sharing in cross-disciplinary research collaborations. The platform consists of (i) a blockchain-based metadata quality control system, (ii) a private cloud-like storage system and (iii) a version control system. GADDS is built with containerized technologies, providing minimal hardware standards and easing scalability, and offers decentralized trust via transparency of metadata, facilitating data exchange and collaboration. As a use case, we provide an example implementation in engineered living material technology within the Hybrid Technology Hub at the University of Oslo. © 2022 The Author(s). Published by Oxford University Press.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45524.9146875},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Globally Accessible Distributed Data Sharing (GADDS): A decentralized FAIR platform to facilitate data sharing in the life sciences},
  x_author = {Vazquez, Pavel and Hirayama-Shoji, Kayoko and Novik, Steffen and Krauss, Stefan and Rayner, Simon},
  x_journal = {Bioinformatics},
  x_year = {2022},
  x_pages = {3812 – 3817},
  x_volume = {38},
  x_doi = {10.1093/bioinformatics/btac362},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135700381&doi=10.1093%2fbioinformatics%2fbtac362&partnerID=40&md5=b9f2aea0f935ba234e6388b27ac958ce}
}
@inproceedings{Li2021Design,
  author = {Li, Xin},
  title = {Design of Web-based Information Management System for Ideological and Moral Quality Evaluation in Colleges and Universities},
  journal = {Proceedings - 2021 3rd International Conference on Internet Technology and Educational Informization, ITEI 2021},
  booktitle = {Proceedings - 2021 3rd International Conference on Internet Technology and Educational Informization, ITEI 2021},
  year = {2021},
  pages = {266 – 269},
  doi = {10.1109/ITEI55021.2021.00068},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128906710&doi=10.1109%2fITEI55021.2021.00068&partnerID=40&md5=975e78d1fc17f101f8b235cadb55f7de},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {The ideological and moral quality evaluation is a fundamental part of the comprehensive quality assessment of college students. However, there are many uncontrollable factors and tedious paper queries in the manual evaluation, which reduces the evaluation efficiency and wastes resources. On the contrary, [1] computer operation can realize exact queries at any time, and is more convenient and fast in modification and statistics. To meet the needs, this paper analyzes the basic structure of the information management system for ideological and moral quality evaluation, and carries out design and research on the system content with ASP.NET as the programming language to achieve better efficacy of ideological and political education. © 2021 IEEE.},
  document_type = {Conference paper},
  author_keywords = {design; evaluation; ideological and moral quality in colleges and universities; system; web},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45499.9006365741},
  updated_at = {45500.2132986111},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Design of Web-based Information Management System for Ideological and Moral Quality Evaluation in Colleges and Universities},
  x_author = {Li, Xin},
  x_year = {2021},
  x_pages = {266 – 269},
  x_doi = {10.1109/ITEI55021.2021.00068},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128906710&doi=10.1109%2fITEI55021.2021.00068&partnerID=40&md5=975e78d1fc17f101f8b235cadb55f7de}
}
@inproceedings{Xu2023Design,
  author = {Xu, Jing and Li, Mingxia},
  title = {Design of Comprehensive Quality Evaluation Management of Teachers' Teaching Function Based on Analytic Hierarchy Process},
  journal = {Proceedings - 2023 3rd International Conference on Digital Data Processing, DDP 2023},
  booktitle = {Proceedings - 2023 3rd International Conference on Digital Data Processing, DDP 2023},
  year = {2023},
  pages = {113 – 116},
  doi = {10.1109/DDP60485.2023.00031},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186145933&doi=10.1109%2fDDP60485.2023.00031&partnerID=40&md5=7ac819f429773e9029d4e1b448a4eb26},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {In higher education, the comprehensive quality evaluation of teachers' teaching functions is essential to improving education and achieving educational goals. The total quality of teachers is one of the most critical factors affecting teaching quality, which is of great significance to improving the teaching quality of the whole school. This system draws on the teaching evaluation experience of college teachers at home and abroad, proposes a set of teacher teaching evaluation index systems, and uses AHP (The analytical hierarchy process) to establish an evaluation model. This software is mainly divided into the foreground module and the background evaluation data management module. In the foreground system, students, experts, leaders and peers primarily evaluate teachers' teaching quality, teachers' self-evaluation, and experts' determination of the weight of evaluation indicators developed using ASP.NET. In the background, it mainly realizes the administrator's management function of evaluation data, which is produced using VB.NET. The system's background database is implemented using SQL Server. © 2023 IEEE.},
  document_type = {Conference paper},
  author_keywords = {AHP; data management; teaching quality evaluation},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45499.9006365741},
  updated_at = {45500.2126736111},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Design of Comprehensive Quality Evaluation Management of Teachers' Teaching Function Based on Analytic Hierarchy Process},
  x_author = {Xu, Jing and Li, Mingxia},
  x_year = {2023},
  x_pages = {113 – 116},
  x_doi = {10.1109/DDP60485.2023.00031},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186145933&doi=10.1109%2fDDP60485.2023.00031&partnerID=40&md5=7ac819f429773e9029d4e1b448a4eb26}
}
@inproceedings{Setiadi2021Data,
  author = {Setiadi, Yusuf and Hidayanto, Achmad Nizar and Rachmawati, Fitri and Yohannes, Adhi Yuniarto Laurentius},
  title = {Data Quality Management Maturity Model : A Case Study in Higher Education's Human Resource Department},
  journal = {7th International Conference on Computing, Engineering and Design, ICCED 2021},
  booktitle = {7th International Conference on Computing, Engineering and Design, ICCED 2021},
  year = {2021},
  doi = {10.1109/ICCED53389.2021.9664881},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125102552&doi=10.1109%2fICCED53389.2021.9664881&partnerID=40&md5=ba2f75df1a5b889d98c855f7c1e24407},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {Data has increasingly become more imperative in organization's decision-making process. Low data quality can cause extensive organizational problems, such as inaccurate decision-making and dropped business possibilities. This is because low-quality data does not present a clear description of the actual situation. In Human Resource (HR) management, low data quality can cause recruitment, career development, remuneration, and retirement processes. Therefore, proper data quality management must be implemented to produce data that suits the organization's needs. To determine how far the implementation of data quality management in the organization, measurement of the maturity level in data quality management is conducted. This study presented an evaluation of data quality management maturity level in HR of higher education, applying the Loshin data quality management maturity framework. The results of this study indicate that the maturity level in the Data quality expectations area is 2.17, the maturity level in the Data quality dimensions area is 2.16, the maturity level in the Policies area is 1.22, the maturity level in the Data quality protocols area is 2, 11, the maturity level in the Data governance area is 1.77, the maturity level in the Data standards area is 1.67, the maturity level in the Technology area is 1.44, and the maturity level in the Performance management area is 1.67. The result shows that the Policies area is the lowest due to the lack of regulations and good documentation regarding data management. It can be a concern in conducting evaluations for improving data quality management. © 2021 IEEE.},
  document_type = {Conference paper},
  author_keywords = {data quality; data quality management; data quality maturity model; information system},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45499.9006365741},
  updated_at = {45500.2122222222},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Data Quality Management Maturity Model : A Case Study in Higher Education's Human Resource Department},
  x_author = {Setiadi, Yusuf and Hidayanto, Achmad Nizar and Rachmawati, Fitri and Yohannes, Adhi Yuniarto Laurentius},
  x_year = {2021},
  x_doi = {10.1109/ICCED53389.2021.9664881},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125102552&doi=10.1109%2fICCED53389.2021.9664881&partnerID=40&md5=ba2f75df1a5b889d98c855f7c1e24407}
}
@inproceedings{Alias2022Development,
  author = {Alias, Salina and Tey, Li-Sian and Nor, Md Rasul Mohamad},
  title = {Development of eFYP to Enhance Quality Management System For Final Year Project Assessment in Engineering Programme},
  journal = {AIP Conference Proceedings},
  booktitle = {AIP Conference Proceedings},
  year = {2022},
  volume = {2532},
  doi = {10.1063/5.0110146},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144020408&doi=10.1063%2f5.0110146&partnerID=40&md5=977c7a604708d8b454165c39ecbaf1e2},
  note = {Cited by: 0; All Open Access, Bronze Open Access},
  source = {Scopus},
  abstract = {The Final Year Project (FYP) is one of the required capstone courses which has to achieve several program outcomes (POs) per the requirement of the Engineering Accreditation Council (EAC) and industries' needs. The POs demonstrate technical/cognitive knowledge, psychomotor skills and affective abilities in students upon completing the course. In addressing the POs that are assessed through different sets of assessment in evaluating students' performance, a systematic mechanism in tracking performance outcomes is needed. This will ensure Continual Quality Improvement (CQI) and enhance the programme's quality management system (QMS). Therefore, \"eFYP\" was developed as a data management tool to analyse the students' performance from all evaluators against different assessment rubric sets and comply with the university's evaluation system. Excel templates that have been programed with visual basic language has developed that can integrate between DataCollector and DataAnalyser system. The eFYP has a unique capability to manage extensive data in a short duration with low storage requirement and high accuracy with security feature. Thus, it has a great potential to be utilised as a data compiling tool in any program. In addition, the eFYP will ensure the students' results can be retrieved in without an error, fast and easy. © 2022 American Institute of Physics Inc.. All rights reserved.},
  document_type = {Conference paper},
  author_keywords = {Assessment; Capstone course; Data management tool; Final year project},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45499.9006365741},
  updated_at = {45500.2175694444},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Development of eFYP to Enhance Quality Management System For Final Year Project Assessment in Engineering Programme},
  x_author = {Alias, Salina and Tey, Li-Sian and Nor, Md Rasul Mohamad},
  x_year = {2022},
  x_doi = {10.1063/5.0110146},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144020408&doi=10.1063%2f5.0110146&partnerID=40&md5=977c7a604708d8b454165c39ecbaf1e2}
}
@inproceedings{Cress2023Developing,
  author = {Cress, Jacob Allen and Schneider, Scott},
  title = {Developing a Streamlined Approach to Manage Program Documents and Assessment Data (Work in Progress)},
  journal = {ASEE Annual Conference and Exposition, Conference Proceedings},
  booktitle = {ASEE Annual Conference and Exposition, Conference Proceedings},
  year = {2023},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172139528&partnerID=40&md5=ae5c58f506deb7ed77f9a59fbe1bd2c4},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Management of course outline data and assessment metrics is a central tenet of the continuous quality improvement (CQI) plan for engineering and engineering technology programs accredited by the Accreditation Board for Engineering and Technology (ABET). This paper presents a work-in-progress description and assessment of a recent method (implemented in Fall 2020) for storing, accessing, and managing data used for course outline and assessment metrics within the engineering technology programs at the University of Dayton. Systemic shortcomings in the prior method where course outline and instructor assessment data were managed using uncontrolled Microsoft Word documents and templates on a departmental network drive was a motivating factor to implement a new data management method. These shortcomings included: 1) lack of access to the network drive by adjunct faculty members, 2) documents which were uncontrolled and were without a formal revision record, and 3) data storage methods which lacked future capability for efficient/timely data analysis and report automation. Once it was determined that an improved method was needed, a variety of options were investigated before the department settled upon a solution utilizing modern software tools in the Google Suite. Full-time faculty began using the newly developed data management tool in Fall 2020; a revised version of the tool was adopted in Fall 2022 and used by the department faculty at large. Beyond simply offering a more robust course outline data and assessment metric storage method, the presented paper demonstrates how the current method can allow for a more efficient and responsive CQI process. One of the stated goals in the development of the new tool was to provide instructor generated feedback directly to the programs CQI reports (without the need for transcription or copy/paste). This tool will allow reports to be generated directly from the source material in a timely manner, enabling more efficient and timelier CQI program meetings. Furthermore, because of the dynamic nature of the data management tool, new and refined reports for use in the CQI process and accreditation review are possible and part of an ongoing development. © American Society for Engineering Education, 2023.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45499.9006365741},
  updated_at = {45500.2150925926},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Developing a Streamlined Approach to Manage Program Documents and Assessment Data (Work in Progress)},
  x_author = {Cress, Jacob Allen and Schneider, Scott},
  x_year = {2023},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172139528&partnerID=40&md5=ae5c58f506deb7ed77f9a59fbe1bd2c4}
}
@article{Bai2020The,
  author = {Bai, Yuge and Xu, Ling and Duan, Xuening and Liu, Yinhua and Ye, Jingming and Liu, Qian and Cheng, Yuanjia and Xin, Ling and Wang, Linhong and Boo, Heling and Yu, Zhigang and Liu, Liyuan and Wang, Rui and Shi, Zhiguo},
  title = {The Breast Cancer Cohort Study in Chinese Women: research design and preliminary results of clinical multi-center cohort; [中国乳腺癌专病队列研究：临床队列的设计与初步结果]},
  journal = {Chinese Journal of Epidemiology},
  year = {2020},
  volume = {41},
  pages = {2046 – 2052},
  doi = {10.3760/cma.j.cn112338-20200507-00694},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099256452&doi=10.3760%2fcma.j.cn112338-20200507-00694&partnerID=40&md5=6b633f6dec3bbfb2976e109973c1c4ce},
  note = {Cited by: 5},
  source = {Scopus},
  abstract = {Objective The incidence of breast cancer in Chinese women continues to rise. The large breast cancer cohort studies in China are relatively scarce. There are many bottlenecks in the construction of large clinical cohort for breast cancer diagnosis, treatment, and prognoses, such as inconsistent standards, high rates of lost follow-up, repeated construction, and inability to share. To better solving the difficulties and problems faced by large-scale clinical cohort research in China, this project will cooperate with several tertiary A hospitals to establish a breast cancer cohort in Chinese women. It also provides a data platform and technical support for breast cancer multi-center clinical cohort research. Methods Based on the evidence-based medicine and expert opinion and consensus, we established a breast cancer cohort standardized indicator set-recording baseline information, diagnosis and treatment-related information of the enrolled patients, and collecting biological specimens. According to the technical specification of long-term follow-up for the endpoint, data management, and data security and in the large population-based cohort study, a standardized follow-up system for the diagnosis, treatment, and prognosis of breast cancer prospective cohorts is formed. Results Based on standardized data sets and the computer discipline's advantage from the University of Science and Technology Beijing, we integrate the new information technology methods, including dynamic information collection terminals and social networks. Thus, the quality of control programs on compliance and intelligence data was improved, and a Chinese women breast cancer cohort database was developed. By February 2020, 12147 patients were included in the clinical cohort database. Biological specimens' resources in cohort construction were collected and cooperated with Shandong University to research the multi-center quality control system and shared evaluation system of biobanks. Building an open and shared biobank network and forming a full chain of breast cancer research platform. Conclusion With the implementation of the \"13th Five-Year Plan\" precision medicine research, this study provides a research foundation for precision diagnosis and treatment of breast cancer and provides data support for the country to formulate relevant medical policies. © 2020 China Anti-Cancer Association. All rights reserved.},
  document_type = {Article},
  author_keywords = {Breast cancer; Cohort study; Precision medicine},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1739930556},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {The Breast Cancer Cohort Study in Chinese Women: research design and preliminary results of clinical multi-center cohort; [中国乳腺癌专病队列研究：临床队列的设计与初步结果]},
  x_author = {Bai, Yuge and Xu, Ling and Duan, Xuening and Liu, Yinhua and Ye, Jingming and Liu, Qian and Cheng, Yuanjia and Xin, Ling and Wang, Linhong and Boo, Heling and Yu, Zhigang and Liu, Liyuan and Wang, Rui and Shi, Zhiguo},
  x_journal = {Chinese Journal of Epidemiology},
  x_year = {2020},
  x_pages = {2046 – 2052},
  x_volume = {41},
  x_doi = {10.3760/cma.j.cn112338-20200507-00694},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099256452&doi=10.3760%2fcma.j.cn112338-20200507-00694&partnerID=40&md5=6b633f6dec3bbfb2976e109973c1c4ce}
}
@inproceedings{Ozeki2021Exploring,
  author = {Ozeki, Satoshi and Hayashi, Toru and Fukano, Masa and Yamazaki, Shinichi and Beach, Andrea L. and Sorcinelli, Mary Deane},
  title = {Exploring the Future Trends of Faculty Development in Japanese Higher Education},
  journal = {Proceedings - 2021 10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021},
  booktitle = {Proceedings - 2021 10th International Congress on Advanced Applied Informatics, IIAI-AAI 2021},
  year = {2021},
  pages = {291 – 294},
  doi = {10.1109/IIAI-AAI53430.2021.00051},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133201409&doi=10.1109%2fIIAI-AAI53430.2021.00051&partnerID=40&md5=c111eca57681208e57c952ebf5cad7b6},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Establishing a management system of teaching and learning has become an essential component for quality assurance in Japanese higher education. An effective system requires several key ingredients, such as clarifying educational goals, organizing curriculums that align with those goals, and assessing learning outcomes. Institutional research for educational data management has been recognized as a key factor in the management system. Although it is imperative to develop teaching skills and capabilities of faculty, who are directly responsible for student learning outcomes, faculty development (FD) receives little attention. This paper aims to discuss how FD should be conducted to further advance Japanese higher education. Specifically, it will present results of a survey conducted to explore future trends in FD. Then, by comparing FD in the United States and Japan, this paper highlights similarities and differences in both countries and suggests future directions for FD in Japanese higher education. © 2021 IEEE.},
  document_type = {Conference paper},
  author_keywords = {comparative analysis; faculty development; higher education; quantitative text analysis},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1737731482},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Exploring the Future Trends of Faculty Development in Japanese Higher Education},
  x_author = {Ozeki, Satoshi and Hayashi, Toru and Fukano, Masa and Yamazaki, Shinichi and Beach, Andrea L. and Sorcinelli, Mary Deane},
  x_year = {2021},
  x_pages = {291 – 294},
  x_doi = {10.1109/IIAI-AAI53430.2021.00051},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133201409&doi=10.1109%2fIIAI-AAI53430.2021.00051&partnerID=40&md5=c111eca57681208e57c952ebf5cad7b6}
}
@article{Abbasabadi-Arab2022Disaster,
  author = {Abbasabadi-Arab, Masoumeh and Khankeh, Hamid Reza and Mosadeghrad, Ali Mohammad},
  title = {Disaster Risk Management in the Iranian Hospitals: Challenges and Solutions},
  journal = {Journal of Military Medicine},
  year = {2022},
  volume = {24},
  pages = {1150 – 1165},
  doi = {10.30491/JMM.24.3.1150},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138785298&doi=10.30491%2fJMM.24.3.1150&partnerID=40&md5=5ca0bf883aeed16cb0da6a2ffccc7168},
  note = {Cited by: 4},
  source = {Scopus},
  abstract = {Background and Aim: Hospital disaster risk management accreditation standards have been developed since 2016. However, the country's hospitals are still not well prepared in this regard. This study aimed to identify the implementation challenges of the disaster Risk Management Program in the country's hospitals and provide solutions to improve it. Methods: This study was conducted as qualitative research in 2019. Purposeful semi-structured interviews were conducted with 35 managers of disaster management centers of the Ministry of Health, medical universities and, hospitals in the country and continued until the saturation stage. Graneheim and Landman's contractual content analysis method was used for data analysis and MAXQDA 12 software was used for data management. Lincoln and Guba's criteria were used to ensure the accuracy and reliability of the data. Results: By analyzing the interviews, 6 main challenges (gap in the policy of the Ministry of Health, limited resources, weakness in planning, lack of coordination and information management, negative attitude at the managerial level, challenges of knowledge, skills, and attitude of human resources) and 31 sub-challenges in disaster risk management were identified in hospitals. Inadequate structures and weaknesses in planning at various levels, lack of transparency of laws, burnout of hospitals, weaknesses in the information management process, weaknesses in knowledge, skills and attitudes of managers and employees were the main side challenges. twentyseven solutions were detected that reforming management structures, securing hospitals, effective and efficient management of resources, reforming policies, creating databases and, using new methods in training and practicing hospital preparedness were among the most important solutions presented. Conclusion: The implementation of disaster risk management programs in the country's hospitals at the levels of policy-making, planning, and implementation is associated with challenges and problems. Paying attention to the structure and organization of disaster management at the Ministry of Health, universities, and hospitals, reforming the structure, laws and national instructions and processes in the programs of the Ministry of Health can lead to improving disaster preparedness in hospitals. © 2022 Baqiyatallah University of Medical Sciences. All rights reserved.},
  document_type = {Article},
  author_keywords = {Disasters; Hospital; Qualitative research; Risk management},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1734953704},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Disaster Risk Management in the Iranian Hospitals: Challenges and Solutions},
  x_author = {Abbasabadi-Arab, Masoumeh and Khankeh, Hamid Reza and Mosadeghrad, Ali Mohammad},
  x_journal = {Journal of Military Medicine},
  x_year = {2022},
  x_pages = {1150 – 1165},
  x_volume = {24},
  x_doi = {10.30491/JMM.24.3.1150},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138785298&doi=10.30491%2fJMM.24.3.1150&partnerID=40&md5=5ca0bf883aeed16cb0da6a2ffccc7168}
}
@article{Tabersky2018Recent,
  author = {Tabersky, Daniel and Woelfle, Michael and Ruess, Juan-Antonio and Brem, Simon and Brombacher, Stephan},
  title = {Recent regulatory trends in pharmaceutical manufacturing and their impact on the industry},
  journal = {Chimia},
  year = {2018},
  volume = {72},
  pages = {146 – 150},
  doi = {10.2533/chimia.2018.146},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045202854&doi=10.2533%2fchimia.2018.146&partnerID=40&md5=2af4c297d65e8d9bab1d81ab0e791c41},
  note = {Cited by: 3; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {The pharmaceutical industry is one of the most regulated industries in Switzerland. Though the concept of good manufacturing practises (GMP) was implemented for chemical production in the early 1990s, the rules and regulations for our industry are in constant evolution. In this article we will highlight the impact of these changes to the industry using three recent guideline up-dates as examples: The implementation of ICH Q3D 'Guideline for elemental impurities', the EU-GMP Guideline Part III Chapter 'Guideline on setting health based exposure limits for use in risk identification in the manufacture of different medicinal products in shared facilities' from 01. June 2015, and the new guidelines to data integrity such as 'PIC/S 041-1 Good Practices for Data Management and Integrity in regulated GMP/GDP environments'. These examples show how scientific approaches help to modernize the control strategies for our products and increase product quality for a better patient safety. The requirements of data integrity regulations are also of interest to industries and universities not working under GxP requirements as they also support the business to improve data quality (traceability) for patent applications, and reduce risk of data falsification. © 2018 Swiss Chemical Society.},
  document_type = {Article},
  author_keywords = {ALCOA; Data Integrity; Elemental impurities; Exposure limits; ICH Q3D},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1727662037},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Recent regulatory trends in pharmaceutical manufacturing and their impact on the industry},
  x_author = {Tabersky, Daniel and Woelfle, Michael and Ruess, Juan-Antonio and Brem, Simon and Brombacher, Stephan},
  x_journal = {Chimia},
  x_year = {2018},
  x_pages = {146 – 150},
  x_volume = {72},
  x_doi = {10.2533/chimia.2018.146},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045202854&doi=10.2533%2fchimia.2018.146&partnerID=40&md5=2af4c297d65e8d9bab1d81ab0e791c41}
}
@incollection{Nyakurerwa2021Quality,
  author = {Nyakurerwa, Austin Tonderai},
  title = {Quality Assurance and Marketing of Library Services and Products: The Case of Midlands State University},
  journal = {Examining the Impact of Industry 4.0 on Academic Libraries},
  booktitle = {Examining the Impact of Industry 4.0 on Academic Libraries},
  year = {2021},
  pages = {165 – 188},
  doi = {10.1108/978-1-80043-656-520201021},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131481723&doi=10.1108%2f978-1-80043-656-520201021&partnerID=40&md5=1af9fea7be8a9d7c34b8d5ee5dc80427},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {The chapter focused on quality assurance and marketing of library services and products at the Midlands State University (MSU). The chapter’s main objective was to identify the quality assurance mechanisms at the MSU Library. The major findings of the research were; the MSU library was practising quality assurance, staff was trained on the latest trends in the profession, the collection was multidisciplinary and in different forms, and that there were Information Communication Technologies (ICTs) used in enhancing service provision. The researcher recommended that the library needed to continuously train librarians on issues to do with quality, improve the infrastructure, introduce Research Data Management to enhance the Research Support Services and improve on the Information Literacy Skills training programmes. The author identified some areas for further research and the major one was that there is need for clarification on the concept of the 4th Industrial Revolution. © 2021 by Emerald Publishing Limited.},
  document_type = {Book chapter},
  author_keywords = {Information Communication Technologies; Libraries; Library Services and Products; Marketing; Midlands State University; Policies; Quality Assurance; Standards},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1726273148},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Quality Assurance and Marketing of Library Services and Products: The Case of Midlands State University},
  x_author = {Nyakurerwa, Austin Tonderai},
  x_year = {2021},
  x_pages = {165 – 188},
  x_doi = {10.1108/978-1-80043-656-520201021},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131481723&doi=10.1108%2f978-1-80043-656-520201021&partnerID=40&md5=1af9fea7be8a9d7c34b8d5ee5dc80427}
}
@article{Modly2022The,
  author = {Modly, Lori A. and Smith, Daniel J.},
  title = {The need for data management standards in public health nursing: A narrative review and case study},
  journal = {Public Health Nursing},
  year = {2022},
  volume = {39},
  pages = {1027 – 1033},
  doi = {10.1111/phn.13066},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125895305&doi=10.1111%2fphn.13066&partnerID=40&md5=644dcc54034494450f831e31648b0f99},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {Background: Data management is the key to the success of all projects and research. The ability to safely store, manipulate, and decipher data in real time is invaluable. Currently data management standards in public health are non-existent. Since the invention of computers real-time data retrieval and analysis has been possible but underutilized by researchers in the field. Historically, most small research studies and field-based projects have utilized spreadsheets for data management, which often proves problematic as the project grows. However, a viable and superior alternative exists in relational databases, such as REDCap. Relational databases allow for easier concatenation of multiple legacy datasets, facilitate data entry with surveys that incorporate branching logic, and allow for real time data entry in the field without the need for WIFI. Methods: One example of a public health project being transitioned from spreadsheet data management to a relational database is the Farmworker Family Health Program based out of the Lillian Carter Center for Global Health & Social Responsibility at Emory University's Nell Hodgson Woodruff School of Nursing. The data management transition from spreadsheets to REDCap has provided the team with unique insight into the data that has been collected in the 30 years the program has been running. Conclusion: Through this case study, we identify the need for and recommend that those in public health nursing utilize relational databases when collecting data during research studies or as electronic medical records for field clinics. © 2022 Wiley Periodicals LLC.},
  document_type = {Article},
  author_keywords = {data management; farmworkers; global health; health care delivery; public health nursing standards; REDCap; relational database; spreadsheets},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1725231482},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {The need for data management standards in public health nursing: A narrative review and case study},
  x_author = {Modly, Lori A. and Smith, Daniel J.},
  x_journal = {Public Health Nursing},
  x_year = {2022},
  x_pages = {1027 – 1033},
  x_volume = {39},
  x_doi = {10.1111/phn.13066},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125895305&doi=10.1111%2fphn.13066&partnerID=40&md5=644dcc54034494450f831e31648b0f99}
}
@inproceedings{Davis2023An,
  author = {Davis, William and Yaqoob, Mahnoor and Bennett, Luke and Mihai, Stefan and Hung, Dang Viet and Trestian, Ramona and Karamanoglu, Mehmet and Barn, Balbir and Nguyen, Huan},
  title = {An Innovative Blockchain-Based Traceability Framework for Industry 4.0 Cyber-Physical Factory},
  journal = {ACM International Conference Proceeding Series},
  booktitle = {ACM International Conference Proceeding Series},
  year = {2023},
  pages = {118 – 122},
  doi = {10.1145/3588155.3588174},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163405641&doi=10.1145%2f3588155.3588174&partnerID=40&md5=73e4966c6b824c29e334440c555f7e42},
  note = {Cited by: 0; All Open Access, Bronze Open Access},
  source = {Scopus},
  abstract = {Industry 4.0 is currently transforming the industrial landscape through the use of innovative technologies and novel data management approaches. The incorporation of Industry 4.0 brought new dimensions of improvement and autonomy into the existing industrial manufacturing processes which has also led to increased expectations for traceability in manufacturing. Traceability enables the tracking of every part and product of the manufacturing process giving insights into each manufactured component and its full history across each operation step that helps manufacturers improve quality and efficiency. Despite the huge potential in facilitating the optimization of the production lines, product traceability has remained a challenging topic in mass manufacturing. Hence, in this paper, an innovative Blockchain-based framework is proposed to integrate the processes of a real production line using the Industry 4.0 Festo Cyber-Physical Factory located at London Digital Twin Research Centre, Middlesex University. Blockchain technology is a distributed and shared database of events for a product life cycle that is encrypted in blocks or smaller data units. This paper introduces a viable blockchain-based framework implemented within a real smart product assembly for internal traceability within the production process in order to improve the security by preventing counterfeiting, identify specific problems on the production line and provide objective proof for product quality assurance. © 2023 Owner/Author.},
  document_type = {Conference paper},
  author_keywords = {blockchain; cyber-physical factory; Industry 4.0},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1722337963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {An Innovative Blockchain-Based Traceability Framework for Industry 4.0 Cyber-Physical Factory},
  x_author = {Davis, William and Yaqoob, Mahnoor and Bennett, Luke and Mihai, Stefan and Hung, Dang Viet and Trestian, Ramona and Karamanoglu, Mehmet and Barn, Balbir and Nguyen, Huan},
  x_year = {2023},
  x_pages = {118 – 122},
  x_doi = {10.1145/3588155.3588174},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163405641&doi=10.1145%2f3588155.3588174&partnerID=40&md5=73e4966c6b824c29e334440c555f7e42}
}
@inproceedings{Jie2021Analysis,
  author = {Jie, Lu and Zheng, Su and Qi, Wang and Xiya, Chen},
  title = {Analysis of Employment Status and Countermeasures of Biology Graduates in Local Normal Universities Based on Big Data Technology - Take the Graduates of Guangxi Normal University from 20l6 to 2020 as an Example},
  journal = {Proceedings - 2021 2nd International Conference on Artificial Intelligence and Education, ICAIE 2021},
  booktitle = {Proceedings - 2021 2nd International Conference on Artificial Intelligence and Education, ICAIE 2021},
  year = {2021},
  pages = {572 – 578},
  doi = {10.1109/ICAIE53562.2021.00127},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116084114&doi=10.1109%2fICAIE53562.2021.00127&partnerID=40&md5=37579e09f424237b5112a73a4442136f},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {The data of annual reports on the employment quality f local normal universities from 2016 to 2020 were captured from the network with the help of information technology. The data related to basic situation and employment destination of biology graduates in Guangxi Normal University were analyzed and collected by data analytic technology such as Data Mining Algorithms, Data Quality Master Data Management and Predictive Analytic Capabilities. In view of the problems of single employment structure, insufficient employment skills, vague employment planning and low achievement of Innovation and Entrepreneurship, measures such as the employment policy interpretation, the talent training programs adjustment, the employment guidance services system improvement and teaching mode innovation are needed in the purpose of promoting employment, providing useful reference to the further progress of teaching reform and optimizing talent training modes and methods for graduates of biology. © 2021 IEEE.},
  document_type = {Conference paper},
  author_keywords = {data analysis; employment quality; graduates; local normal universities; majors concerning biology},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1720949074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Analysis of Employment Status and Countermeasures of Biology Graduates in Local Normal Universities Based on Big Data Technology - Take the Graduates of Guangxi Normal University from 20l6 to 2020 as an Example},
  x_author = {Jie, Lu and Zheng, Su and Qi, Wang and Xiya, Chen},
  x_year = {2021},
  x_pages = {572 – 578},
  x_doi = {10.1109/ICAIE53562.2021.00127},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116084114&doi=10.1109%2fICAIE53562.2021.00127&partnerID=40&md5=37579e09f424237b5112a73a4442136f}
}
@article{Wang2021Ideological,
  author = {Wang, Yuxia},
  title = {Ideological and political teaching model using fuzzy analytic hierarchy process based on machine learning and artificial intelligence},
  journal = {Journal of Intelligent and Fuzzy Systems},
  year = {2021},
  volume = {40},
  pages = {3571 – 3583},
  doi = {10.3233/JIFS-189393},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100522997&doi=10.3233%2fJIFS-189393&partnerID=40&md5=2d09cc9a84fa0d36d7890e578ff3400a},
  note = {Cited by: 19},
  source = {Scopus},
  abstract = {Ideological and political education plays an important role in supporting social talent input. However, the current evaluation effect of ideological and political education is difficult to quantify. Therefore, in order to improve the evaluation effect of ideological and political education, based on artificial intelligence algorithms, this study combines machine learning ideas and the current status of ideological and political education to build a fuzzy analytic hierarchy process model of the of ideological and political teaching quality based on machine learning and artificial intelligence. Moreover, this study uses a three-tier structure to build a model network structure, and based on the characteristics of fuzzy evaluation, this study uses the expert system to conduct data management, operation and control of model evaluation, and build a corresponding database to update the data in real time. In addition, in order to verify the effect of the model, this study sets simulation experiments to analyze the model performance. From the point of view of running effect and running speed, this research model meets the actual needs of the system, so it can be applied to the evaluation process of ideological and political teaching quality in colleges and universities. © 2021 - IOS Press. All rights reserved.},
  document_type = {Article},
  author_keywords = {fuzzy AHP model; ideological and political education; Machine learning; teaching quality},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1719560185},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Ideological and political teaching model using fuzzy analytic hierarchy process based on machine learning and artificial intelligence},
  x_author = {Wang, Yuxia},
  x_journal = {Journal of Intelligent and Fuzzy Systems},
  x_year = {2021},
  x_pages = {3571 – 3583},
  x_volume = {40},
  x_doi = {10.3233/JIFS-189393},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100522997&doi=10.3233%2fJIFS-189393&partnerID=40&md5=2d09cc9a84fa0d36d7890e578ff3400a}
}
@article{Yuan2024Research,
  author = {Yuan, Yan},
  title = {Research on the Innovation Mode of Sports Management in Colleges and Universities under the Perspective of Sports Informatization},
  journal = {Applied Mathematics and Nonlinear Sciences},
  year = {2024},
  volume = {9},
  doi = {10.2478/amns-2024-1006},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192168565&doi=10.2478%2famns-2024-1006&partnerID=40&md5=8655e256483c049cebcdb9b971392fc0},
  note = {Cited by: 0; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {As the “smart sports” continue to heat up, some colleges and universities have launched the first practice in sports in terms of information technology and extensive data management. In this paper, we first constructed an innovative sports public service platform using information technology, created an intelligent management mode of sports in colleges and universities, and realized the synergistic governance of services and management of sports. Then, based on entropy weight-TOPSIS method, it constructed an evaluation model for the quality of intelligent sports management. It solved the implementation effect of college innovative sports from informationization management matching degree, safety management feedback and informationization sports teaching feedback. The results show that the average value of the feedback scores for college sports safety management is above 35 points. Students’ learning engagement and sports interest before and after the introduction of sports teaching management in colleges and universities showed significant differences at the 1% level. The research presented in this paper is conducive to deepening and expanding theoretical research on topics such as computerized sports management and campus sports, and promoting modernization and development of sports teaching and management. © 2023 Yan Yuan, published by Sciendo.},
  document_type = {Article},
  author_keywords = {Entropy weight method; Evaluation model; Intelligent sports; Topsis model},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1716435185},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Research on the Innovation Mode of Sports Management in Colleges and Universities under the Perspective of Sports Informatization},
  x_author = {Yuan, Yan},
  x_journal = {Applied Mathematics and Nonlinear Sciences},
  x_year = {2024},
  x_volume = {9},
  x_doi = {10.2478/amns-2024-1006},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192168565&doi=10.2478%2famns-2024-1006&partnerID=40&md5=8655e256483c049cebcdb9b971392fc0}
}
@article{Mohebbi2023Sodium,
  author = {Mohebbi, Nilufar and Ritter, Alexander and Wiegand, Anna and Graf, Nicole and Dahdal, Suzan and Sidler, Daniel and Arampatzis, Spyridon and Hadaya, Karine and Mueller, Thomas F and Wagner, Carsten A and Wüthrich, Rudolf P},
  title = {Sodium bicarbonate for kidney transplant recipients with metabolic acidosis in Switzerland: a multicentre, randomised, single-blind, placebo-controlled, phase 3 trial},
  journal = {The Lancet},
  year = {2023},
  volume = {401},
  pages = {557 – 567},
  doi = {10.1016/S0140-6736(22)02606-X},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148480042&doi=10.1016%2fS0140-6736%2822%2902606-X&partnerID=40&md5=fe9981635a071ab0e0ac8256393906fa},
  note = {Cited by: 11},
  source = {Scopus},
  abstract = {Background: Metabolic acidosis is common in kidney transplant recipients and is associated with declining graft function. Sodium bicarbonate treatment effectively corrects metabolic acidosis, but no prospective studies have examined its effect on graft function. Therefore, we aimed to test whether sodium bicarbonate treatment would preserve graft function and slow the progression of estimated glomerular filtration rate (GFR) decline in kidney transplant recipients. Methods: The Preserve-Transplant Study was a multicentre, randomised, single-blind, placebo-controlled, phase 3 trial at three University Hospitals in Switzerland (Zurich, Bern, and Geneva), which recruited adult (aged ≥18 years) male and female long-term kidney transplant recipients if they had undergone transplantation more than 1 year ago. Key inclusion criteria were an estimated GFR between 15 mL/min per 1·73 m2 and 89 mL/min per 1·73 m2, stable allograft function in the last 6 months before study inclusion (<15% change in serum creatinine), and a serum bicarbonate of 22 mmol/L or less. We randomly assigned patients (1:1) to either oral sodium bicarbonate 1·5–4·5 g per day or matching placebo using web-based data management software. Randomisation was stratified by study centre and gender using a permuted block design to guarantee balanced allocation. We did multi-block randomisation with variable block sizes of two and four. Treatment duration was 2 years. Acid-resistant soft gelatine capsules of 500 mg sodium bicarbonate or matching 500 mg placebo capsules were given at an initial dose of 500 mg (if bodyweight was <70 kg) or 1000 mg (if bodyweight was ≥70 kg) three times daily. The primary endpoint was the estimated GFR slope over the 24-month treatment phase. The primary efficacy analyses were applied to a modified intention-to-treat population that comprised all randomly assigned participants who had a baseline visit. The safety population comprised all participants who received at least one dose of study drug. The trial is registered with ClinicalTrials.gov, NCT03102996. Findings: Between June 12, 2017, and July 10, 2019, 1114 kidney transplant recipients with metabolic acidosis were assessed for trial eligibility. 872 patients were excluded and 242 were randomly assigned to the study groups (122 [50%] to the placebo group and 120 [50%] to the sodium bicarbonate group). After secondary exclusion of two patients, 240 patients were included in the intention-to-treat analysis. The calculated yearly estimated GFR slopes over the 2-year treatment period were a median –0·722 mL/min per 1·73 m2 (IQR –4·081 to 1·440) and mean –1·862 mL/min per 1·73 m2 (SD 6·344) per year in the placebo group versus median –1·413 mL/min per 1·73 m2 (IQR –4·503 to 1·139) and mean –1·830 mL/min per 1·73 m2 (SD 6·233) per year in the sodium bicarbonate group (Wilcoxon rank sum test p=0·51; Welch t-test p=0·97). The mean difference was 0·032 mL/min per 1·73 m2 per year (95% CI –1·644 to 1·707). There were no significant differences in estimated GFR slopes in a subgroup analysis and a sensitivity analysis confirmed the primary analysis. Although the estimated GFR slope did not show a significant difference between the treatment groups, treatment with sodium bicarbonate effectively corrected metabolic acidosis by increasing serum bicarbonate from 21·3 mmol/L (SD 2·6) to 23·0 mmol/L (2·7) and blood pH from 7·37 (SD 0·06) to 7·39 (0·04) over the 2-year treatment period. Adverse events and serious adverse events were similar in both groups. Three study participants died. In the placebo group, one (1%) patient died from acute respiratory distress syndrome due to SARS-CoV-2 and one (1%) from cardiac arrest after severe dehydration following diarrhoea with hypotension, acute kidney injury, and metabolic acidosis. In the sodium bicarbonate group, one (1%) patient had sudden cardiac death. Interpretation: In adult kidney transplant recipients, correction of metabolic acidosis by treatment with so},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1715625},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Sodium bicarbonate for kidney transplant recipients with metabolic acidosis in Switzerland: a multicentre, randomised, single-blind, placebo-controlled, phase 3 trial},
  x_author = {Mohebbi, Nilufar and Ritter, Alexander and Wiegand, Anna and Graf, Nicole and Dahdal, Suzan and Sidler, Daniel and Arampatzis, Spyridon and Hadaya, Karine and Mueller, Thomas F and Wagner, Carsten A and Wüthrich, Rudolf P},
  x_journal = {The Lancet},
  x_year = {2023},
  x_pages = {557 – 567},
  x_volume = {401},
  x_doi = {10.1016/S0140-6736(22)02606-X},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148480042&doi=10.1016%2fS0140-6736%2822%2902606-X&partnerID=40&md5=fe9981635a071ab0e0ac8256393906fa}
}
@inproceedings{Bharadwaj2019Development,
  author = {Bharadwaj, Akshay and Xu, Yang and Angrish, Atin and Chen, Yong and Starly, Binil},
  title = {Development of a pilot manufacturing cyberinfrastructure with an information rich mechanical cad 3D model repository},
  journal = {ASME 2019 14th International Manufacturing Science and Engineering Conference, MSEC 2019},
  booktitle = {ASME 2019 14th International Manufacturing Science and Engineering Conference, MSEC 2019},
  year = {2019},
  volume = {1},
  doi = {10.1115/MSEC2019-2882},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076519904&doi=10.1115%2fMSEC2019-2882&partnerID=40&md5=a97fdb1eb7fd7b0ad5f7942a559b8972},
  note = {Cited by: 5},
  source = {Scopus},
  abstract = {Data driven advanced manufacturing research is dependenton access to large datasets made available from across theproduct lifecycle-from the concept design phase all the waydown to end use and disposal. Despite such data being generatedat a rapid pace, most product design data is archived ininaccessible silos. This is particularly acute in academic researchlaboratories and with data generated during product design andmanufacturing courses. This project seeks to create aninfrastructure that allow users (academia and the general public)to easily upload project data and related meta-data. Currentmanufacturing research must shift from siloed repositories ofproduct manufacturing data to a federated, decentralized, openand inter-operable approach. In this regard, we build 'FabWave'a cyber-infrastructure tool designed to capture manufacturingdata. In its first pilot implementation, we focused our attentionto gathering information rich 3D Mechanical CAD data andrelated meta-data associated with them, with the intent to makeit easier for users to upload and access product design data. Wedescribe workflows that we have initially tested out within thetwo academic universities and under two different coursestructures. We have also developed automated workflows togather license appropriate CAD assemblies from commercialrepositories. Our intent is to create the only known largestavailable CAD model set within academia for enabling researchin data-driven computational research in digital design,fabrication and quality control. © ASME 2019 14th International Manufacturing Science and Engineering Conference. All rights reserved.},
  document_type = {Conference paper},
  author_keywords = {CAD Model Repository; Data Management; Digital Thread; Machine Learning CAD; Manufacturing Cyber Infrastructure},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.171400463},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Development of a pilot manufacturing cyberinfrastructure with an information rich mechanical cad 3D model repository},
  x_author = {Bharadwaj, Akshay and Xu, Yang and Angrish, Atin and Chen, Yong and Starly, Binil},
  x_year = {2019},
  x_doi = {10.1115/MSEC2019-2882},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076519904&doi=10.1115%2fMSEC2019-2882&partnerID=40&md5=a97fdb1eb7fd7b0ad5f7942a559b8972}
}
@inproceedings{Behrens2019CDIP:,
  author = {Behrens, James and Thomas, Julie and Terrill, Eric and Jensen, Robert},
  title = {CDIP: Maintaining a Robust and Reliable Ocean Observing Buoy Network},
  journal = {2019 IEEE/OES 12th Current, Waves and Turbulence Measurement, CWTM 2019},
  booktitle = {2019 IEEE/OES 12th Current, Waves and Turbulence Measurement, CWTM 2019},
  year = {2019},
  doi = {10.1109/CWTM43797.2019.8955166},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078952733&doi=10.1109%2fCWTM43797.2019.8955166&partnerID=40&md5=aded0cd0390aeb20ed3ebf0ad4932c49},
  note = {Cited by: 8},
  source = {Scopus},
  abstract = {The Coastal Data Information Program (CDIP) is an operational wave monitoring and prediction program based at Scripps Institution of Oceanography, part of the University of California, San Diego. CDIP maintains an array of Datawell™ Waverider directional wave buoys in US and territorial waters. Primary funding is provided by the US Army Corps of Engineers, with additional funding from the State of California, the U.S. Navy, various federal agencies, and the private sector. In recent years, collaborations with NOAA's regional Integrated Ocean Observing System (IOOS) programs have further expanded the CDIP array, which presently includes stations along the Atlantic and Pacific mainland coasts, plus Alaska, Hawaii, the South Pacific, Lake Superior, the Gulf Coast of Florida, and Puerto Rico. Collecting reliable wave buoy data begins with using high quality instruments and maintaining them properly. Working closely with the buoy manufacturer, CDIP has been expanding and improving pre-and post-deployment sensor validation capabilities. Comprehensive and well-documented quality control measures are then applied to the real-time data. Advanced diagnostics and automated messaging have been developed to provide watch keepers with real time notice of any environmental conditions, vessel interference, or technical malfunctions that invalidate the data. Newly available sensors, providing surface current and air temperature data in addition to the waves and sea surface temperature, have been beta-tested and incorporated. The current data have been applied to better understand mooring response to strong currents and effects on wave data. Lessons have been learned and applied regarding the effects of biofouling and anti-fouling measures. As a result, reliable data continue to be collected that characterize long-term wave and sea surface temperature climate, as well as wave conditions generated by major storm events such as Hurricane Florence in 2018. The growing buoy array and evolution of computing resources prompted CDIP to overhaul its data processing, metadata handling, and web hosting infrastructure in order to improve on usability, scalability, reliability, portability and security. Cloud based services are now utilized, and a variety of technologies such as the THREDDS data server, Django™ Web Framework, Django™ Rest Framework, and Docker® containers have been adopted. These forward-looking upgrades will ensure the robustness of CDIP's data management capabilities, wave model output availability, and web presence for years to come. © 2019 IEEE.},
  document_type = {Conference paper},
  author_keywords = {biofouling; coastal data; data buoys; data dissemination; data telemetry; Hurricane Florence; Port of Nome; quality control; real time monitoring systems; sea surface temperature; surface currents; Waves},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1706481481},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {CDIP: Maintaining a Robust and Reliable Ocean Observing Buoy Network},
  x_author = {Behrens, James and Thomas, Julie and Terrill, Eric and Jensen, Robert},
  x_year = {2019},
  x_doi = {10.1109/CWTM43797.2019.8955166},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078952733&doi=10.1109%2fCWTM43797.2019.8955166&partnerID=40&md5=aded0cd0390aeb20ed3ebf0ad4932c49}
}
@article{Gollapalli2023SUNFIT:,
  author = {Gollapalli, Mohammed and Rahman, Atta and Alkharraa, Mariam and Saraireh, Linah and AlKhulaifi, Dania and Salam, Asiya Abdus and Krishnasamy, Gomathi and Alam Khan, Mohammad Aftab and Farooqui, Mehwash and Mahmud, Maqsood and Hatab, Rehan},
  title = {SUNFIT: A Machine Learning-Based Sustainable University Field Training Framework for Higher Education},
  journal = {Sustainability (Switzerland)},
  year = {2023},
  volume = {15},
  doi = {10.3390/su15108057},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160795855&doi=10.3390%2fsu15108057&partnerID=40&md5=9319caccfdd9b090fcc60d0c9b75634c},
  note = {Cited by: 10; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {With the rapid advances in Information Technology (IT), the focus on engaging computing students to gain practical experience in the IT industry before graduation is becoming increasingly complex without incorporating pedagogical strategies of success in curricula. The goal is to enable computing major students to gain in-depth knowledge and practical understanding of the IT working environment before graduating through essential industry-driven practical skills based on international standards and best practices. Unfortunately, tracking and analyzing students’ practical skills performance during their IT field training programs, which are conducted primarily off-campus at various public and private organizations, before, during, and after the training period, is a daunting task for both the college instructors and the industry trainers. To overcome these challenges, this paper introduces a Sustainable University Field Training (SUNFIT) framework, which is a pedagogical approach towards mining the educational data using machine learning to integrate and measure the field training programs against the internationally recognized accreditation standards such as Accreditation Board for Engineering and Technology (ABET). The study employs machine learning models aimed at continuously measuring and monitoring international ABET accreditation requirements on computing major courses’ academic data, elucidating student performance across various semesters, integrating best practices, and producing an evidence-based rationale approach for evaluating weak learning outcomes (LOs) with minimal manual intervention, as well as preventing faculty-specific portfolio errors. The proposed approach could be easily developed by academics, researchers, or even students, and for a variety of purposes, including enhancing poor student outcomes (SOs). In addition, various data mining and machine learning approaches have been investigated over field training assessment data for successful prediction in subsequent cycles. The results are promising, with Naïve Bayes obtaining the highest accuracy of 90.54% followed by J48 and PART algorithms at 87.83%. © 2023 by the authors.},
  document_type = {Article},
  author_keywords = {accreditation; best practices; communication skills; computing programs; curriculum development; data management; higher education; machine learning; practical training},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45524.9684375},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {SUNFIT: A Machine Learning-Based Sustainable University Field Training Framework for Higher Education},
  x_author = {Gollapalli, Mohammed and Rahman, Atta and Alkharraa, Mariam and Saraireh, Linah and AlKhulaifi, Dania and Salam, Asiya Abdus and Krishnasamy, Gomathi and Alam Khan, Mohammad Aftab and Farooqui, Mehwash and Mahmud, Maqsood and Hatab, Rehan},
  x_journal = {Sustainability (Switzerland)},
  x_year = {2023},
  x_volume = {15},
  x_doi = {10.3390/su15108057},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160795855&doi=10.3390%2fsu15108057&partnerID=40&md5=9319caccfdd9b090fcc60d0c9b75634c}
}
@article{Jia2022An,
  author = {Jia, Hongjun and Chen, Wenjing},
  title = {An Intelligent Cloud Computing Data Processing System for College Innovation and Entrepreneurship Data Statistics},
  journal = {Mobile Information Systems},
  year = {2022},
  volume = {2022},
  doi = {10.1155/2022/4877746},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131693350&doi=10.1155%2f2022%2f4877746&partnerID=40&md5=929119e61e75a556dc75e5a6162b04d5},
  note = {Cited by: 3; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {With the improvement of the enrollment rate in recent years, innovation and entrepreneurship in colleges and universities have become the focus of the country and people. However, the statistics of innovation and entrepreneurship in colleges and universities have become more and more complicated and difficult. The purpose of this paper is to study how to face the statistics of innovation and entrepreneurship in colleges and universities, then to study the intelligent cloud computing data processing system, and put forward the importance of innovation and entrepreneurship and cloud computing in colleges and universities. The experiment results show that it can be seen that the number of graduates has risen sharply from 2011 to 2020 and the percentage has risen from about 20% to about 90%, which has also led to a great increase in the difficulty of graduate entrepreneurial data management. The difficulty of graduate entrepreneurial data management has risen from around 18% at the beginning to around 87% in 2020. Therefore, it is necessary to study the data processing system to make data processing more efficient. The intelligent cloud computing data processing system significantly improves the quality and efficiency of entrepreneurial service management, and the data mining application in the system can also provide data support for the analysis and prediction of graduates' entrepreneurial situations. The intelligent cloud computing data processing system significantly improves the quality and efficiency of entrepreneurial service management, and the data mining application in the system can also provide data support for the analysis and prediction of graduates' entrepreneurial situations. © 2022 Hongjun Jia and Wenjing Chen.},
  document_type = {Article},
  selection_criteria = {Estudios disponibles de forma gratuita o a través de bases de datos accesibles},
  created_at = {45499.9006365741},
  updated_at = {45524.9996180556},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {An Intelligent Cloud Computing Data Processing System for College Innovation and Entrepreneurship Data Statistics},
  x_author = {Jia, Hongjun and Chen, Wenjing},
  x_journal = {Mobile Information Systems},
  x_year = {2022},
  x_volume = {2022},
  x_doi = {10.1155/2022/4877746},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131693350&doi=10.1155%2f2022%2f4877746&partnerID=40&md5=929119e61e75a556dc75e5a6162b04d5}
}
@article{Zhang2020Application,
  author = {Zhang, Binyan and Mi, Baibing and Wu, Wentao and Shi, Guoshuai and Shang, Suhang and Liu, Yezhou and Gao, Xiangyu and Dang, Shaonong and Yan, Hong},
  title = {Application of research electronic data capture in an interactive online survey system for monitoring hypertension risk factors during pregnancy; [基于REDCap的妊娠期高血压危险因素监测交互式在线调查系统的设计]},
  journal = {Journal of Xi'an Jiaotong University (Medical Sciences)},
  year = {2020},
  volume = {41},
  pages = {612 – 616},
  doi = {10.7652/jdyxb202004026},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087783093&doi=10.7652%2fjdyxb202004026&partnerID=40&md5=e47dbcb27b053fcc0abc0f28ab09688b},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {Objective To establish interactive online survey system for monitoring hypertension risk factors during pregnancy using the research electronic data capture (REDCap) system. Methods Based on the actual requirements of monitoring hypertension risk factors during pregnancy, an interactive online survey system was designed using the REDCap clinical research data collection system provided by the Open Research Data Platform of Xi'an Jiaotong University. Then, the online designer, data dictionary, branch logic, calculated fields and other module functions were used to create variables and set logical jumps to implement the questionnaire tool form creation. Finally, project management functions such as user rights and permission modules and group management, adding data quality verification rules, were applied to implement the implementation of quality control of survey data. Results The design of the above-mentioned survey system was achieved and put into clinical use according to the predetermined goals, and good feedback and high evaluation were received from researchers. Conclusion Application of research electronic data capture in an interactive online survey system for monitoring hypertension risk factors during pregnancy that was accompanied by friendly interface, convenient access, secure data storage, complete investigation functions, perfect quality control, and easy follow-up management and maintenance, providing a convenient, efficient, secure and standardized data management tool for medical researchers to conduct relevant research. © 2020, Editorial Board of Journal of Xi'an Jiaotong University (Medical Sciences). All right reserved.},
  document_type = {Article},
  author_keywords = {Online database; REDCap; Risk factors for hypertension during pregnancy},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1703819444},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Application of research electronic data capture in an interactive online survey system for monitoring hypertension risk factors during pregnancy; [基于REDCap的妊娠期高血压危险因素监测交互式在线调查系统的设计]},
  x_author = {Zhang, Binyan and Mi, Baibing and Wu, Wentao and Shi, Guoshuai and Shang, Suhang and Liu, Yezhou and Gao, Xiangyu and Dang, Shaonong and Yan, Hong},
  x_journal = {Journal of Xi'an Jiaotong University (Medical Sciences)},
  x_year = {2020},
  x_pages = {612 – 616},
  x_volume = {41},
  x_doi = {10.7652/jdyxb202004026},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087783093&doi=10.7652%2fjdyxb202004026&partnerID=40&md5=e47dbcb27b053fcc0abc0f28ab09688b}
}
@inproceedings{Zhang2021PHP-based,
  author = {Zhang, Xin and Wei, Zhengang and Han, Tongjun},
  title = {PHP-based undergraduate data reporting and teaching quality evaluation information system},
  journal = {Journal of Physics: Conference Series},
  booktitle = {Journal of Physics: Conference Series},
  year = {2021},
  volume = {1827},
  doi = {10.1088/1742-6596/1827/1/012174},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103357938&doi=10.1088%2f1742-6596%2f1827%2f1%2f012174&partnerID=40&md5=4970cc7014a37b45772b15bbcca748e4},
  note = {Cited by: 5; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Teaching evaluation is an important means to evaluate the quality of university education. The traditional teaching evaluation process requires a lot of manpower and material resources to uniformly allocate resources with inconsistent data storage methods. Therefore, it is of great significance to develop a teaching evaluation system for data management and display. The system adopts the PHP development language, the mature oneThink development framework, the data management method is used to process the data, the data is stored in the MySQL database, and the MVC software design architecture and B/S mode are used for the front-end and server interaction. This article describes the key steps of the development system, and proved in practice that the system is stable and compatible with different operating systems and browsers. The results show that this system simplifies the process of teaching evaluation, improves the efficiency of university educational affairs, and has positive significance for the improvement of university teaching quality. © Published under licence by IOP Publishing Ltd.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45524.9995717593},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {PHP-based undergraduate data reporting and teaching quality evaluation information system},
  x_author = {Zhang, Xin and Wei, Zhengang and Han, Tongjun},
  x_year = {2021},
  x_doi = {10.1088/1742-6596/1827/1/012174},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103357938&doi=10.1088%2f1742-6596%2f1827%2f1%2f012174&partnerID=40&md5=4970cc7014a37b45772b15bbcca748e4}
}
@article{Nind2018The,
  author = {Nind, Thomas and Galloway, James and McAllister, Gordon and Scobbie, Donald and Bonney, Wilfred and Hall, Christopher and Tramma, Leandro and Reel, Parminder and Groves, Martin and Appleby, Philip and Doney, Alex and Guthrie, Bruce and Jefferson, Emily},
  title = {The research data management platform (RDMP): A novel, process driven, open-source tool for the management of longitudinal cohorts of clinical data},
  journal = {GigaScience},
  year = {2018},
  volume = {7},
  doi = {10.1093/gigascience/giy060},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050861658&doi=10.1093%2fgigascience%2fgiy060&partnerID=40&md5=dd9aac62a4de876a248da2ddec2be4a5},
  note = {Cited by: 10; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Background: The Health Informatics Centre at the University of Dundee provides a service to securely host clinical datasets and extract relevant data for anonymized cohorts to researchers to enable them to answer key research questions. As is common in research using routine healthcare data, the service was historically delivered using ad-hoc processes resulting in the slow provision of data whose provenance was often hidden to the researchers using it. This paper describes the development and evaluation of the Research Data Management Platform (RDMP): an open source tool to load, manage, clean, and curate longitudinal healthcare data for research and provide reproducible and updateable datasets for defined cohorts to researchers. Results: Between 2013 and 2017, RDMP tool implementation tripled the productivity of data analysts producing data releases for researchers from 7.1 to 25.3 per month and reduced the error rate from 12.7% to 3.1%. The effort on data management reduced from a mean of 24.6 to 3.0 hours per data release. The waiting time for researchers to receive data after agreeing a specification reduced from approximately 6 months to less than 1 week. The software is scalable and currently manages 163 datasets. A total 1,321 data extracts for research have been produced, with the largest extract linking data from 70 different datasets. Conclusions: The tools and processes that encompass the RDMP not only fulfil the research data management requirements of researchers but also support the seamless collaboration of data cleaning, data transformation, data summarization and data quality assessment activities by different research groups. © The Author(s) 2018. Published by Oxford University Press.},
  document_type = {Note},
  author_keywords = {Clinical datasets; Data catalogue; Health informatics; Record linkage; Research data management; Translational research},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1678472222},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {The research data management platform (RDMP): A novel, process driven, open-source tool for the management of longitudinal cohorts of clinical data},
  x_author = {Nind, Thomas and Galloway, James and McAllister, Gordon and Scobbie, Donald and Bonney, Wilfred and Hall, Christopher and Tramma, Leandro and Reel, Parminder and Groves, Martin and Appleby, Philip and Doney, Alex and Guthrie, Bruce and Jefferson, Emily},
  x_journal = {GigaScience},
  x_year = {2018},
  x_volume = {7},
  x_doi = {10.1093/gigascience/giy060},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050861658&doi=10.1093%2fgigascience%2fgiy060&partnerID=40&md5=dd9aac62a4de876a248da2ddec2be4a5}
}
@article{Hui2022The,
  author = {Hui, Zhang and Chenyu, Jiao and Yongqian, Zhu and Changxian, Li and Yongxiang, Xia and Xiangcheng, Li and Xuehao, Wang and Yang, Zhao and Jin, Liu},
  title = {The construction and application of registry and follow-up database in hepatobiliary tumor patients; [肝胆肿瘤患者登记与随访数据库的构建与应用]},
  journal = {Chinese Journal of Digestive Surgery},
  year = {2022},
  volume = {21},
  pages = {307 – 312},
  doi = {10.3760/cma.j.cn115610-20220129-00062},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132698845&doi=10.3760%2fcma.j.cn115610-20220129-00062&partnerID=40&md5=ec2c8dac7604b8c46a73a7f59650b799},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {The treatment of hepatobiliary malignant tumor is characterized by the coexistence of multiple treatment methods and multiple disciplines. In order to evaluate the clinical efficacy of different treatment measures or multiple treatment combinations, and to promote the standardized development of comprehensive treatment patterns for hepatobiliary malignant tumor, the Hepatobiliary Center of the First Affiliated Hospital of Nanjing Medical University constructs the registry and follow-up database in hepatobiliary tumor patients based on the information-based platform of the hospital, which will help guide clinicians to make scientific decisions and improve the level of clinical diagnosis and treatment. This study describes the framework design, function modules, data acquisition process and quality control of the database of hepatobiliary malignant tumor. Based on the observational bidirectional cohort study design, the previous clinical data can be sorted to match the current database, on the other hand, the clinical data can be prospectively collected including basic information, admission evaluation, surgical information and postoperative situation, comprehensive treatment measures, regular reexaminations and long-term follow-up, etc. The data quality control system can be improved by formulating standardized operation procedures, regularly personnel training and full-process data management plans. This database will provide high-quality real-world data for clinicians, researchers, and guideline experts, and then provide high-level medical evidence for the standardized development of comprehensive treatment patterns of hepatobiliary malignancies. © 2022 Chinese Medical Journals Publishing House Co.Ltd. All rights reserved.},
  document_type = {Review},
  author_keywords = {Bidirectional cohort study; Biliary tract neoplasms; Database; Liver neoplasms; Quality control},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1674305556},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {The construction and application of registry and follow-up database in hepatobiliary tumor patients; [肝胆肿瘤患者登记与随访数据库的构建与应用]},
  x_author = {Hui, Zhang and Chenyu, Jiao and Yongqian, Zhu and Changxian, Li and Yongxiang, Xia and Xiangcheng, Li and Xuehao, Wang and Yang, Zhao and Jin, Liu},
  x_journal = {Chinese Journal of Digestive Surgery},
  x_year = {2022},
  x_pages = {307 – 312},
  x_volume = {21},
  x_doi = {10.3760/cma.j.cn115610-20220129-00062},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132698845&doi=10.3760%2fcma.j.cn115610-20220129-00062&partnerID=40&md5=ec2c8dac7604b8c46a73a7f59650b799}
}
@article{Mallon2021Advancing,
  author = {Mallon, Ann-Marie and Häring, Dieter A. and Dahlke, Frank and Aarden, Piet and Afyouni, Soroosh and Delbarre, Daniel and El Emam, Khaled and Ganjgahi, Habib and Gardiner, Stephen and Kwok, Chun Hei and West, Dominique M. and Straiton, Ewan and Haemmerle, Sibylle and Huffman, Adam and Hofmann, Tom and Kelly, Luke J. and Krusche, Peter and Laramee, Marie-Claude and Lheritier, Karine and Ligozio, Greg and Readie, Aimee and Santos, Luis and Nichols, Thomas E. and Branson, Janice and Holmes, Chris},
  title = {Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis},
  journal = {BMC Medical Research Methodology},
  year = {2021},
  volume = {21},
  doi = {10.1186/s12874-021-01409-4},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119364977&doi=10.1186%2fs12874-021-01409-4&partnerID=40&md5=28b100cdc92985f10e5c536336b7840e},
  note = {Cited by: 8; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Background: Novartis and the University of Oxford’s Big Data Institute (BDI) have established a research alliance with the aim to improve health care and drug development by making it more efficient and targeted. Using a combination of the latest statistical machine learning technology with an innovative IT platform developed to manage large volumes of anonymised data from numerous data sources and types we plan to identify novel patterns with clinical relevance which cannot be detected by humans alone to identify phenotypes and early predictors of patient disease activity and progression. Method: The collaboration focuses on highly complex autoimmune diseases and develops a computational framework to assemble a research-ready dataset across numerous modalities. For the Multiple Sclerosis (MS) project, the collaboration has anonymised and integrated phase II to phase IV clinical and imaging trial data from ≈35,000 patients across all clinical phenotypes and collected in more than 2200 centres worldwide. For the “IL-17” project, the collaboration has anonymised and integrated clinical and imaging data from over 30 phase II and III Cosentyx clinical trials including more than 15,000 patients, suffering from four autoimmune disorders (Psoriasis, Axial Spondyloarthritis, Psoriatic arthritis (PsA) and Rheumatoid arthritis (RA)). Results: A fundamental component of successful data analysis and the collaborative development of novel machine learning methods on these rich data sets has been the construction of a research informatics framework that can capture the data at regular intervals where images could be anonymised and integrated with the de-identified clinical data, quality controlled and compiled into a research-ready relational database which would then be available to multi-disciplinary analysts. The collaborative development from a group of software developers, data wranglers, statisticians, clinicians, and domain scientists across both organisations has been key. This framework is innovative, as it facilitates collaborative data management and makes a complicated clinical trial data set from a pharmaceutical company available to academic researchers who become associated with the project. Conclusions: An informatics framework has been developed to capture clinical trial data into a pipeline of anonymisation, quality control, data exploration, and subsequent integration into a database. Establishing this framework has been integral to the development of analytical tools. © 2021, The Author(s).},
  document_type = {Article},
  author_keywords = {Clinical trial; Data anonymisation; Data management; Machine learning},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1671990741},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis},
  x_author = {Mallon, Ann-Marie and Häring, Dieter A. and Dahlke, Frank and Aarden, Piet and Afyouni, Soroosh and Delbarre, Daniel and El Emam, Khaled and Ganjgahi, Habib and Gardiner, Stephen and Kwok, Chun Hei and West, Dominique M. and Straiton, Ewan and Haemmerle, Sibylle and Huffman, Adam and Hofmann, Tom and Kelly, Luke J. and Krusche, Peter and Laramee, Marie-Claude and Lheritier, Karine and Ligozio, Greg and Readie, Aimee and Santos, Luis and Nichols, Thomas E. and Branson, Janice and Holmes, Chris},
  x_journal = {BMC Medical Research Methodology},
  x_year = {2021},
  x_volume = {21},
  x_doi = {10.1186/s12874-021-01409-4},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119364977&doi=10.1186%2fs12874-021-01409-4&partnerID=40&md5=28b100cdc92985f10e5c536336b7840e}
}
@article{Jiang2022Best,
  author = {Jiang, Li-Qing and Pierrot, Denis and Wanninkhof, Rik and Feely, Richard A. and Tilbrook, Bronte and Alin, Simone and Barbero, Leticia and Byrne, Robert H. and Carter, Brendan R. and Dickson, Andrew G. and Gattuso, Jean-Pierre and Greeley, Dana and Hoppema, Mario and Humphreys, Matthew P. and Karstensen, Johannes and Lange, Nico and Lauvset, Siv K. and Lewis, Ernie R. and Olsen, Are and Pérez, Fiz F. and Sabine, Christopher and Sharp, Jonathan D. and Tanhua, Toste and Trull, Thomas W. and Velo, Anton and Allegra, Andrew J. and Barker, Paul and Burger, Eugene and Cai, Wei-Jun and Chen, Chen-Tung A. and Cross, Jessica and Garcia, Hernan and Hernandez-Ayon, Jose Martin and Hu, Xinping and Kozyr, Alex and Langdon, Chris and Lee, Kitack and Salisbury, Joe and Wang, Zhaohui Aleck and Xue, Liang},
  title = {Best Practice Data Standards for Discrete Chemical Oceanographic Observations},
  journal = {Frontiers in Marine Science},
  year = {2022},
  volume = {8},
  doi = {10.3389/fmars.2021.705638},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108089911&doi=10.3389%2ffmars.2021.705638&partnerID=40&md5=37344e0f9e198cba7d2311c6701254c9},
  note = {Cited by: 19; All Open Access, Gold Open Access, Green Open Access},
  source = {Scopus},
  abstract = {Effective data management plays a key role in oceanographic research as cruise-based data, collected from different laboratories and expeditions, are commonly compiled to investigate regional to global oceanographic processes. Here we describe new and updated best practice data standards for discrete chemical oceanographic observations, specifically those dealing with column header abbreviations, quality control flags, missing value indicators, and standardized calculation of certain properties. These data standards have been developed with the goals of improving the current practices of the scientific community and promoting their international usage. These guidelines are intended to standardize data files for data sharing and submission into permanent archives. They will facilitate future quality control and synthesis efforts and lead to better data interpretation. In turn, this will promote research in ocean biogeochemistry, such as studies of carbon cycling and ocean acidification, on regional to global scales. These best practice standards are not mandatory. Agencies, institutes, universities, or research vessels can continue using different data standards if it is important for them to maintain historical consistency. However, it is hoped that they will be adopted as widely as possible to facilitate consistency and to achieve the goals stated above. Copyright © 2022 Jiang, Pierrot, Wanninkhof, Feely, Tilbrook, Alin, Barbero, Byrne, Carter, Dickson, Gattuso, Greeley, Hoppema, Humphreys, Karstensen, Lange, Lauvset, Lewis, Olsen, Pérez, Sabine, Sharp, Tanhua, Trull, Velo, Allegra, Barker, Burger, Cai, Chen, Cross, Garcia, Hernandez-Ayon, Hu, Kozyr, Langdon, Lee, Salisbury, Wang and Xue.},
  document_type = {Article},
  author_keywords = {CO2SYS; column header abbreviations; content vs. concentration; data standard for chemical oceanography; discrete chemical oceanographic observations; quality control flags; TEOS-10; WOCE WHP exchange formats},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1614930556},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Best Practice Data Standards for Discrete Chemical Oceanographic Observations},
  x_author = {Jiang, Li-Qing and Pierrot, Denis and Wanninkhof, Rik and Feely, Richard A. and Tilbrook, Bronte and Alin, Simone and Barbero, Leticia and Byrne, Robert H. and Carter, Brendan R. and Dickson, Andrew G. and Gattuso, Jean-Pierre and Greeley, Dana and Hoppema, Mario and Humphreys, Matthew P. and Karstensen, Johannes and Lange, Nico and Lauvset, Siv K. and Lewis, Ernie R. and Olsen, Are and Pérez, Fiz F. and Sabine, Christopher and Sharp, Jonathan D. and Tanhua, Toste and Trull, Thomas W. and Velo, Anton and Allegra, Andrew J. and Barker, Paul and Burger, Eugene and Cai, Wei-Jun and Chen, Chen-Tung A. and Cross, Jessica and Garcia, Hernan and Hernandez-Ayon, Jose Martin and Hu, Xinping and Kozyr, Alex and Langdon, Chris and Lee, Kitack and Salisbury, Joe and Wang, Zhaohui Aleck and Xue, Liang},
  x_journal = {Frontiers in Marine Science},
  x_year = {2022},
  x_volume = {8},
  x_doi = {10.3389/fmars.2021.705638},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85108089911&doi=10.3389%2ffmars.2021.705638&partnerID=40&md5=37344e0f9e198cba7d2311c6701254c9}
}
@inproceedings{Bushnell2019Status,
  author = {Bushnell, Mark and Heitsenrether, Robert and Thomas, Julie and Galvarino, Charlton and Burger, Eugene and Dorton, Jennifer and Leonard, Dr. Lynn},
  title = {Status and Near-Term Plans for the U.S. IOOS Quality Assurance / Quality Control of Real-time Oceanographic Data (QARTOD) Project},
  journal = {OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018},
  booktitle = {OCEANS 2018 MTS/IEEE Charleston, OCEAN 2018},
  year = {2019},
  doi = {10.1109/OCEANS.2018.8604787},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061825244&doi=10.1109%2fOCEANS.2018.8604787&partnerID=40&md5=b135bf382ec7e1714eed75a57505712a},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {The U.S. Integrated Ocean Observing System (IOOS) Quality Assurance / Quality Control of Oceanographic Data (QARTOD) project has produced a series of real-time quality control manuals for specific core variables and other variables of interest to the oceanographic community. Not all core variables warrant a QARTOD manual. We consider each remaining variable for which a QARTOD manual has not been produced and discuss the potential for development of a manual in the near term.QARTOD QC tests are presently being implemented by IOOS Regional Associations. We review the challenges anticipated and encountered in this process and provide an example of a successful effort. Manuals are updated to ensure they remain accurate and relevant; feedback following implementation is a key component of the update process.QARTOD manuals are used internationally, and we will continue to expand our global collaborative efforts. These include a review of the Global Ocean Observing System essential ocean variables to consider further candidates for a QC manual, and partnerships supportive of QC, QA, measurement uncertainty, and best practices. QARTOD manuals are also used by universities to train the individuals who will implement the next generation of advanced QC tests. © 2018 IEEE.},
  document_type = {Conference paper},
  author_keywords = {Measurement uncertainty.; QARTOD; Quality assurance; Quality control; Real time data management},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1611921296},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Status and Near-Term Plans for the U.S. IOOS Quality Assurance / Quality Control of Real-time Oceanographic Data (QARTOD) Project},
  x_author = {Bushnell, Mark and Heitsenrether, Robert and Thomas, Julie and Galvarino, Charlton and Burger, Eugene and Dorton, Jennifer and Leonard, Dr. Lynn},
  x_year = {2019},
  x_doi = {10.1109/OCEANS.2018.8604787},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061825244&doi=10.1109%2fOCEANS.2018.8604787&partnerID=40&md5=b135bf382ec7e1714eed75a57505712a}
}
@inproceedings{Denner2023Efficient,
  author = {Denner, Stefan and Scherer, Jonas and Kades, Klaus and Bounias, Dimitrios and Schader, Philipp and Kausch, Lisa and Bujotzek, Markus and Bucher, Andreas Michael and Penzkofer, Tobias and Maier-Hein, Klaus},
  title = {Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications},
  journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
  year = {2023},
  volume = {14314 LNCS},
  pages = {46 – 55},
  doi = {10.1007/978-3-031-44992-5_5},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174586583&doi=10.1007%2f978-3-031-44992-5_5&partnerID=40&md5=88cd9cd83cb77810b2f009541c52560d},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {In the rapidly evolving field of medical imaging, machine learning algorithms have become indispensable for enhancing diagnostic accuracy. However, the effectiveness of these algorithms is contingent upon the availability and organization of high-quality medical imaging datasets. Traditional Digital Imaging and Communications in Medicine (DICOM) data management systems are inadequate for handling the scale and complexity of data required to be facilitated in machine learning algorithms. This paper introduces an innovative data curation tool, developed as part of the Kaapana (https://github.com/kaapana/kaapana ) open-source toolkit, aimed at streamlining the organization, management, and processing of large-scale medical imaging datasets. The tool is specifically tailored to meet the needs of radiologists and machine learning researchers. It incorporates advanced search, auto-annotation and efficient tagging functionalities for improved data curation. Additionally, the tool facilitates quality control and review, enabling researchers to validate image and segmentation quality in large datasets. It also plays a critical role in uncovering potential biases in datasets by aggregating and visualizing metadata, which is essential for developing robust machine learning models. Furthermore, Kaapana is integrated within the Radiological Cooperative Network (RACOON), a pioneering initiative aimed at creating a comprehensive national infrastructure for the aggregation, transmission, and consolidation of radiological data across all university clinics throughout Germany. A supplementary video showcasing the tool’s functionalities can be accessed at https://bit.ly/MICCAI-DEMI2023. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.},
  document_type = {Conference paper},
  author_keywords = {Bias Detection; Data Curation; Dataset Preperation; Kaapana; Machine Learning; Medical Imaging; Quality Control},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.161087963},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications},
  x_author = {Denner, Stefan and Scherer, Jonas and Kades, Klaus and Bounias, Dimitrios and Schader, Philipp and Kausch, Lisa and Bujotzek, Markus and Bucher, Andreas Michael and Penzkofer, Tobias and Maier-Hein, Klaus},
  x_year = {2023},
  x_pages = {46 – 55},
  x_doi = {10.1007/978-3-031-44992-5_5},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174586583&doi=10.1007%2f978-3-031-44992-5_5&partnerID=40&md5=88cd9cd83cb77810b2f009541c52560d}
}
@inproceedings{Howden2023Offshore,
  author = {Howden, Stephan and Change, Grace and Currier, Bob and Grant, Caleb and Jurisich, Joel and Kim, Michael and Kirkpatrick, Barb and Simon, Neil and Spada, Frank},
  title = {Offshore Demonstration of an Unmanned Surface Vehicle for Autonomous Hypoxia Monitoring},
  journal = {Oceans Conference Record (IEEE)},
  booktitle = {Oceans Conference Record (IEEE)},
  year = {2023},
  doi = {10.23919/OCEANS52994.2023.10337003},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181583433&doi=10.23919%2fOCEANS52994.2023.10337003&partnerID=40&md5=ed341dd3022e481c2fae1acdccc2ea15},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {A partnership led by the University of Southern Mississippi has been funded by the National Oceanic and Atmospheric Administration's Integrated Ocean Observing System as an Ocean Technology Transition Project, to accelerate the transition of adaptive, autonomous water quality profiling capabilities for a work-class uncrewed surface vehicle, to collect near bottom profile data in the context of other physical parameters and develop a framework for transitioning the technology to operations. The transitioned technology will contribute to the characterization of Northern Gulf of Mexico hypoxia events. The public-private partnership includes the Gulf of Mexico Coastal Ocean Observing System, Integral Consulting, and L3Harris/ASV. The specific objectives of the project are to operationally demonstrate: 1.Autonomous water quality profiling capability for University of Southern Mississippi's and L3Harris ASV's C-Worker 5 work-class uncrewed surface vehicle to conduct water column profiles to measure stratified waters in depths from 5 m to over 50 m and bottom observations adaptively to within 1 m above the sediment bed. 2.Real-time transmission of data relevant to hypoxia monitoring to support northern Gulf of Mexico hypoxic zone surveys and modeling; data will be made free and publicly available through operational data centers. In Year 1 of the project L3Harris/ASV integrated an altimeter with the winch controller of the C-Worker 5, integrated a conductivity, temperature and depth sensor package with dissolved oxygen sensor and altimeter with a computer data logger, and built a launch and recovery system for the sensor package. The integration of the altimeter with the winch controller allows the sensor package to be lowered within 1 m of the seafloor, and this was successfully tested in a lake. During Years 1 and 2 of the project, Integral Consulting built a data management system that accepts an ftp connection from the vessel (over cell service in this demo), downloads cast files and metadata, performs quality control checks, and bundles the data and metadata into netcdf files. The Gulf of Mexico Coastal Ocean Observing System set up a system to download the netcdf files and display the location of the vessel and the data on their GANDALF platform. In Year 2 an offshore demonstration of the system was conducted. On October 6th and 7th of 2022, day-cruises were conducted offshore of Mississippi with the C-Worker 5 of the University of Southern Mississippi sampling a set of stations that included those from a project that ran a quasi-monthly offshore transect from 2011- 2015, and for which seasonal seafloor hypoxia was found each year of that project. Although delays pushed the demonstration past hypoxia season, at each station the vessel was able to profile to within 1 m of the seafloor. Nearby profiles were taken from an observation boat, the USM R/V Jim Franks, for validation. The data management plan was successfully tested from observations, to telemetry to shore based servers, to data QC and netcdf file generation by Integral Consulting to download by GCOOS. © 2023 The Marine Technology Society (MTS).},
  document_type = {Conference paper},
  author_keywords = {Gulf of Mexico; hypoxia; uncrewed surface vessel},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1610185185},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Offshore Demonstration of an Unmanned Surface Vehicle for Autonomous Hypoxia Monitoring},
  x_author = {Howden, Stephan and Change, Grace and Currier, Bob and Grant, Caleb and Jurisich, Joel and Kim, Michael and Kirkpatrick, Barb and Simon, Neil and Spada, Frank},
  x_year = {2023},
  x_doi = {10.23919/OCEANS52994.2023.10337003},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181583433&doi=10.23919%2fOCEANS52994.2023.10337003&partnerID=40&md5=ed341dd3022e481c2fae1acdccc2ea15}
}
@article{Smith2023A,
  author = {Smith, V.B. and Mcgauley, M.W. and Newman, M. and Garzio-Hadzick, A. and Kurzweil, A. and Wadzuk, B.M. and Traver, R.},
  title = {A Relational Data Model for Advancing Stormwater Infrastructure Management},
  journal = {Journal of Sustainable Water in the Built Environment},
  year = {2023},
  volume = {9},
  doi = {10.1061/JSWBAY.SWENG-478},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143625960&doi=10.1061%2fJSWBAY.SWENG-478&partnerID=40&md5=33523cc0f7896813cbe7e47e509040a3},
  note = {Cited by: 5; All Open Access, Hybrid Gold Open Access},
  source = {Scopus},
  abstract = {To date, the knowledge benefits that can result from the growing abundance of measured stormwater data have yet to be fully realized within the industry. Obstacles due to data format and storage, retrieval, and quality control have limited the size and impact of accessing known data, resulting in data that are often siloed by project or objective, which inhibits advancements in our understanding, as well as decision making and information sharing across municipalities. Consortium of Universities for the Advancement of Hydrologic Sciences, Inc. (CUAHSI)'s observations data model (ODM) is a relational data model designed to organize disparate types of data; however, it does not provide avenues for the storage of stormwater monitoring-specific metadata. To facilitate stormwater infrastructure data analysis, the Villanova stormwater infrastructure data model (SIDM), constructed comparably to ODM1, was created by adding and removing tables from the ODM1 structure, along with other modifications to enable efficient data access. The novel data model presented here facilitates a comprehensive spatiotemporal analysis specific to stormwater systems to overcome traditional stormwater data siloes and harness the benefits of stormwater data through efficient avenues. The data model structure of the SIDM enables stormwater-specific data to be managed efficiently not only to provide data regarding function and performance but to advance the science around stormwater planning and management, as well as knowledge sharing across researchers, utilities, and municipalities. In this paper, we describe the logic of the design, benefits of the data model, and applications to specific green stormwater infrastructure installations. This has the potential to not only provide novel insight but open the door for applications of modeling advancement in physics-based models and beyond to artificial intelligence, data analysis, and data-informed decision making in the planning, design, operation, and maintenance of stormwater systems. © 2022 This work is made available under the terms of the Creative Commons Attribution 4.0 International license,.},
  document_type = {Article},
  author_keywords = {Best management practices; Cyberinfrastructure; Data management; Observations model; Stormwater control measures; Urban hydrology},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1608680556},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {A Relational Data Model for Advancing Stormwater Infrastructure Management},
  x_author = {Smith, V.B. and Mcgauley, M.W. and Newman, M. and Garzio-Hadzick, A. and Kurzweil, A. and Wadzuk, B.M. and Traver, R.},
  x_journal = {Journal of Sustainable Water in the Built Environment},
  x_year = {2023},
  x_volume = {9},
  x_doi = {10.1061/JSWBAY.SWENG-478},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85143625960&doi=10.1061%2fJSWBAY.SWENG-478&partnerID=40&md5=33523cc0f7896813cbe7e47e509040a3}
}
@article{Parichehreh-Dizaji2021Establishment,
  author = {Parichehreh-Dizaji, Somayeh and Samimi, Hilda and Asadolahpour, Effat and Karimi-Birgani, Farzaneh and Haghpanah, Vahid and Larijani, Bagher},
  title = {Establishment of biobank facility at Endocrinology and Metabolism Research Institute of Iran: experiences, challenges, and future outlook},
  journal = {Journal of Diabetes and Metabolic Disorders},
  year = {2021},
  volume = {20},
  pages = {1081 – 1084},
  doi = {10.1007/s40200-021-00781-8},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103642315&doi=10.1007%2fs40200-021-00781-8&partnerID=40&md5=07381d2af762621fc3a4961bb43528c9},
  note = {Cited by: 1; All Open Access, Bronze Open Access, Green Open Access},
  source = {Scopus},
  abstract = {Biobanking as an emerging procedure referring to the development of sample storage technologies which provide essential structures for conducting research. This paper presents the experiences and challenges faced while establishing the non-communicable diseases (NCDs)-dedicated biobank at Endocrinology and Metabolism Research Institute (EMRI) in Iran, such as infrastructure, Laboratory Information Management System (LIMS), ethical and legal aspects, sample collection, preservation, and quality control (QC). NCDs are a major health problem around the world and in Iran, which is access to biological samples are required to understanding and planning to these diseases. The main objectives of the EMRI biobank is currently the collection and storage of biological samples such as blood, serum, plasma, urine and DNA from patients with NCDs including diabetes mellitus osteoporosis and elderly population based on cohort and cross-sectional studies. The biobank of EMRI aims to have a major impact on the NCDs by supplying biological samples for national and international research projects. © 2021, Springer Nature Switzerland AG.},
  document_type = {Note},
  author_keywords = {Biobank; Endocrinology and Metabolism Research Institute; Iran; Non‐communicable diseases; Tehran University of Medical Sciences},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1607407407},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Establishment of biobank facility at Endocrinology and Metabolism Research Institute of Iran: experiences, challenges, and future outlook},
  x_author = {Parichehreh-Dizaji, Somayeh and Samimi, Hilda and Asadolahpour, Effat and Karimi-Birgani, Farzaneh and Haghpanah, Vahid and Larijani, Bagher},
  x_journal = {Journal of Diabetes and Metabolic Disorders},
  x_year = {2021},
  x_pages = {1081 – 1084},
  x_volume = {20},
  x_doi = {10.1007/s40200-021-00781-8},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103642315&doi=10.1007%2fs40200-021-00781-8&partnerID=40&md5=07381d2af762621fc3a4961bb43528c9}
}
@article{Gu2024Construction,
  author = {Gu, Qiumei and Chen, Zhengju and Lu, Fang},
  title = {Construction of fundus disease-specific biobank: an evidence-based analysis and inspiration; [基 于 循 证 医 学 方 法 对 眼 底 病 专 病 生 物 样 本 库建 设 的 分 析 与 启 示]},
  journal = {Chinese Journal of Ocular Fundus Diseases},
  year = {2024},
  volume = {40},
  pages = {215 – 221},
  doi = {10.3760/cma.j.cn511434-20231110-00449},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193386520&doi=10.3760%2fcma.j.cn511434-20231110-00449&partnerID=40&md5=2f87948ad5fbf07eb8046732b39dbf58},
  note = {Cited by: 0},
  source = {Scopus},
  abstract = {Objective To explore the necessity, construction plans, and implementation methods for the establishment of a fundus disease-specific biobank are discussed. Methods An evidence-based medicine study. “Biobank”, “Disease-specific biobank”, “Eye diseases”, “Fundus disease” were hereby used as search terms. Literatures were retrieved related to biobank construction from PubMed, Embase, China National Knowledge Infrastructure, and Wanfang databases since their establishment until October 2023. Two researchers independently selected and analyzed literature, extracting data for further analysis. Results After screening, 23 articles were included, comprising 11 articles in Chinese and 12 articles in English, involving 23 institutions. The disease-specific biobank has been built earlier abroad than domestically. Both domestic and foreign biobank have a scale of less than 1, 1 to 10, and more than 10 thousand samples, with the eye disease-specific biobank having less than 10 thousand samples. The majority of these disease-specific biobank focued on tumor-related diseases and consist of both physical and information components. Ethical committees were required to declare and record the construction of biobank, and dedicated personnel and information management systems are established. Quality control systems have been developed with standard operating procedures from sample collection to storage. These disease-specific biobank effectively supported research projects, but there was a lack of resource sharing domestically compared to abroad. Based on practical experience, the construction of fundus disease-specific biobank at West China Hospital of Sichuan University has been improved. Separate sample collection processes have been formulated for outpatient clinics and operating rooms. Standard operating procedures have been established for unique eye samples, including vitreous fluid, proliferative membranes of the retina, aqueous humor, tears, etc., to ensure sample quality. Conclusion Establishing a fundus disease-specific biobank can promote basic and clinical research, advance the development of translational medicine, achieve resource sharing, and foster discipline development. © 2024 Chinese Medical Journals Publishing House Co.Ltd. All rights reserved.},
  document_type = {Article},
  author_keywords = {Biobanks; Disease-specific biobank; Evidence-based medicine; Fundus disease},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1606597222},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Construction of fundus disease-specific biobank: an evidence-based analysis and inspiration; [基 于 循 证 医 学 方 法 对 眼 底 病 专 病 生 物 样 本 库建 设 的 分 析 与 启 示]},
  x_author = {Gu, Qiumei and Chen, Zhengju and Lu, Fang},
  x_journal = {Chinese Journal of Ocular Fundus Diseases},
  x_year = {2024},
  x_pages = {215 – 221},
  x_volume = {40},
  x_doi = {10.3760/cma.j.cn511434-20231110-00449},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193386520&doi=10.3760%2fcma.j.cn511434-20231110-00449&partnerID=40&md5=2f87948ad5fbf07eb8046732b39dbf58}
}
@article{Zhou2021Protocol,
  author = {Zhou, Yangwen and Tao, Jing and Wang, Ke and Deng, Kui and Wang, Yanping and Zhao, Jianxin and Chen, Chunyi and Wu, Tingxuan and Zhou, Jiayuan and Zhu, Jun and Li, Xiaohong},
  title = {Protocol of a prospective and multicentre China Teratology Birth Cohort (CTBC): association of maternal drug exposure during pregnancy with adverse pregnancy outcomes},
  journal = {BMC Pregnancy and Childbirth},
  year = {2021},
  volume = {21},
  doi = {10.1186/s12884-021-04073-0},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114054439&doi=10.1186%2fs12884-021-04073-0&partnerID=40&md5=8c0327f5c8ec563e1e2d2efb9b6c8a45},
  note = {Cited by: 3; All Open Access, Gold Open Access, Green Open Access},
  source = {Scopus},
  abstract = {Background: As reported, 27-93 % of pregnant women take at least one drug during pregnancy. However, drug exposure during pregnancy still lacks sufficient foetal safety evidence of human origin. It is urgent to fill the knowledge gap about medication safety during pregnancy for optimization of maternal disease treatment and pregnancy drug consultation. Methods and analysis: The China Teratology Birth Cohort (CTBC) was established in 2019 and is a hospital-based open-ended prospective cohort study with the aim of assessing drug safety during pregnancy. Pregnant women who set up the pregnancy health records in the first trimester or who seek drug consultation regardless of gestational age in the member hospitals are recruited. Enrolled pregnant women need to be investigated four times, namely, 6–14 and 24–28 weeks of gestational age, before discharge after hospital delivery, and 28–42 days after birth. Maternal medication exposure during pregnancy is the focus of the CTBC. For drugs, information on the type, name, and route of medication; start and end time of medication; single dose; frequency of medication; dosage form; manufacturer; and reason for medication is collected. The adverse pregnancy outcomes collected in the study include birth defects, stillbirth, spontaneous abortion, preterm birth, post-term birth, low birth weight, macrosomia, small for gestational age, large for gestational age and low Apgar score. CTBC uses an electronic questionnaire for data collection and a cloud system for data management. Biological samples are collected if informed consents are obtained. Multi-level logistic regression, mixed-effect negative binomial distribution regression and spline function regression are used to explore the effect of drugs on the occurrence of birth defects. Discussion: The findings of the study will assist in further understanding the risk of birth defects and other adverse pregnancy outcomes associated with maternal drug exposure and developing the optimal treatment plans and drug counselling for pregnant women. Trial registration: This study was approved by the Research Ethics Committee of the West China Second Hospital of Sichuan University and registered at the Chinese Clinical Trial Registry (http://www.chictr.org.cn/index.aspx, registration number ChiCTR1900022569). © 2021, The Author(s).},
  document_type = {Article},
  author_keywords = {Birth cohort; Birth defect; Drug; Pregnancy; Teratology},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1668518519},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Protocol of a prospective and multicentre China Teratology Birth Cohort (CTBC): association of maternal drug exposure during pregnancy with adverse pregnancy outcomes},
  x_author = {Zhou, Yangwen and Tao, Jing and Wang, Ke and Deng, Kui and Wang, Yanping and Zhao, Jianxin and Chen, Chunyi and Wu, Tingxuan and Zhou, Jiayuan and Zhu, Jun and Li, Xiaohong},
  x_journal = {BMC Pregnancy and Childbirth},
  x_year = {2021},
  x_volume = {21},
  x_doi = {10.1186/s12884-021-04073-0},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114054439&doi=10.1186%2fs12884-021-04073-0&partnerID=40&md5=8c0327f5c8ec563e1e2d2efb9b6c8a45}
}
@inproceedings{Fadli2018Extending,
  author = {Fadli, F. and Kutty, N. and Wang, Z. and Zlatanova, S. and Mahdjoubi, L. and Boguslawski, P. and Zverovich, V.},
  title = {Extending indoor open street mapping environments to navigable 3D citygml building models: Emergency response assessment},
  journal = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives},
  booktitle = {International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives},
  year = {2018},
  volume = {42},
  pages = {241 – 247},
  doi = {10.5194/isprs-archives-XLII-4-161-2018},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056187419&doi=10.5194%2fisprs-archives-XLII-4-161-2018&partnerID=40&md5=5e19bf6aa915dc4d5ec85ed99da753b6},
  note = {Cited by: 6; All Open Access, Gold Open Access, Green Open Access},
  source = {Scopus},
  abstract = {Disaster scenarios in high-rise buildings such as the Address Downtown, Dubai or Grenfell Tower, London have showed ones again the importance of data information availability for emergency management in buildings. 3D visualization of indoor routing services using extensive and high quality geographic data sources is essential for spatial analysis in emergency responses. In order to facilitate emergency response simulations, a combination of geometrical, graphical and semantic information is essential. Successful and efficient emergency evacuation responses is facilitated by the availability of both digital static and dynamic information of the incident site. However, interruptions may be encountered with the availability of dynamic data, where static data developed using indoor navigation ontologies serve as an alternative to inform the first responders. Thus, it is necessary to obtain a firm, interactive and quasi-realistic virtual simulation of the building environments. Voxelized CityGML models imported into voxel based hazard simulation systems fits well into the simulation algorithm requirements (Groger et al., 2008; Moreno et.al, 2010). Therefore, the research investigates an alternative platform for generating CityGML spatial analysis models. LoD4 models are developed using Computer Aided Design (Auto CAD) 2D files, crowdsourced geo-data (OpenStreetMap) and open source tools. A combination of software packages is utilized for 3D reconstruction of building interiors. This process is achieved through a Java application developed by researchers at Heidelberg University. Conclusions drawn from the research validate the 3D CityGML model generation process as an international standard to effectively enhance the outcome of emergency evacuation simulations of high rise buildings. © Authors 2018.},
  document_type = {Conference paper},
  author_keywords = {3D citygml models; Crowdsourced geodata; Digital data management; Emergency evacuation responses; Indoor routing; OpenStreetMap (OSM)},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1669328704},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Extending indoor open street mapping environments to navigable 3D citygml building models: Emergency response assessment},
  x_author = {Fadli, F. and Kutty, N. and Wang, Z. and Zlatanova, S. and Mahdjoubi, L. and Boguslawski, P. and Zverovich, V.},
  x_year = {2018},
  x_pages = {241 – 247},
  x_doi = {10.5194/isprs-archives-XLII-4-161-2018},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056187419&doi=10.5194%2fisprs-archives-XLII-4-161-2018&partnerID=40&md5=5e19bf6aa915dc4d5ec85ed99da753b6}
}
@article{Sikman2022Modelling,
  author = {Sikman, Ljilja and Latinovic, Tihomir and Sarajlic, Nermin},
  title = {Modelling of Fuzzy Expert System for an Assessment of Security Information Management System UIS (University Information System)},
  journal = {Tehnicki Vjesnik},
  year = {2022},
  volume = {29},
  pages = {60 – 65},
  doi = {10.17559/TV-20200721154801},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125673781&doi=10.17559%2fTV-20200721154801&partnerID=40&md5=82da960e797f51984320d57a71c6af75},
  note = {Cited by: 6; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Several methodologies based on the international standard ISO/IEC 27001 have been developed for modelling information security management systems within higher education. This paper transformed the ISO/IEC 27001 standard into a questionnaire, which was sent digitally to about 100 universities in Bosnia and Herzegovina, and to the EU, Norway and the USA. The questions are arranged by levels, and the levels have their numerical weights, derived from individual questions in the levels themselves. Otherwise, the questions are asked with Yes or No and thus are reduced to binary variables. The rules necessary for the functioning of the system have been calculated. The fuzzy logic method represents a new approach to the problems of managing complex systems, which is very difficult to describe with a certain mathematical model, as well as in systems with a large number of inputs and outputs where there are unclear interactions. Risk assessment is a major part of the ISMS process. Traditional risk calculation models are based on the application of probability and classical set theory. Here, we have converted the risk assessment into a system rating of 5 to 10 numerically or from five to ten descriptively. We perform fuzzy optimization by finding the values of the input parameters of a complex simulated system, which results in the desired output. We use the fuzzy logic controller to execute fuzzy inference rules from the fuzzy rule database in determining congestion parameters, obtaining warning information and appropriate action. Simulating the situation of an advanced system that evaluates the protection quality of such a system with fuzzy logic, we use MATLAB. The paper combines the original Visual Basic programming language and MATLAB's Fuzzy Toolbox, to solve the complex problem of assessing compliance with the ISO/IEC 27001 standard, as one of the main standards for information systems security modelling. University information systems were used, but it is also applicable to all other information systems. The evaluation has been done for several universities and it has been proven that the system evaluates correctly, but these universities must not be publicly named. There was no such approach in the use of fuzzy logic and on such systems, and that is the originality of this work. © 2022, Strojarski Facultet. All rights reserved.},
  document_type = {Article},
  author_keywords = {Expert systems; Fuzzy; ISMS (information security management system); ISO/IEC 27001; Risk},
  selection_criteria = {Estudios que no estén disponibles de forma gratuita o no sean accesibles a través de las bases de datos utilizadas.},
  created_at = {45499.9006365741},
  updated_at = {45521.9855555556},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Modelling of Fuzzy Expert System for an Assessment of Security Information Management System UIS (University Information System)},
  x_author = {Sikman, Ljilja and Latinovic, Tihomir and Sarajlic, Nermin},
  x_journal = {Tehnicki Vjesnik},
  x_year = {2022},
  x_pages = {60 – 65},
  x_volume = {29},
  x_doi = {10.17559/TV-20200721154801},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125673781&doi=10.17559%2fTV-20200721154801&partnerID=40&md5=82da960e797f51984320d57a71c6af75}
}
@article{Dettman2024A,
  author = {Dettman, David},
  title = {A Study on the Knowledge and Perception of Artificial Intelligence},
  journal = {Evidence Based Library and Information Practice},
  year = {2024},
  volume = {19},
  pages = {139 – 141},
  doi = {10.18438/eblip30436},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197421694&doi=10.18438%2feblip30436&partnerID=40&md5=f5666236d860f3d8ac213192ba427fd4},
  note = {Cited by: 0; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Objective – To assess the knowledge, perception, and skills of library and information science (LIS) professionals related to artificial intelligence (AI). Design – 45 statements were distributed to 469 LIS professionals via Google Forms to collect primary data. 245 participants responded to the structured questionnaire. Setting – University and college libraries in Zambia. Subjects – Zambian library and information science professionals. Methods – A descriptive approach was employed for the study. Data was gathered via a questionnaire. “The objective was to assess the statistical relationship between the knowledge, perception, and skills of LIS professionals (the independent variables) and AI (the dependent variable)” (Subaveerapandiyan et al., p. 506). The survey used a 5-point Likert scale with (1) strongly disagree being the lowest score and (5) strongly agree the highest. Means and standard deviations are included in data display tables. Thematic analysis was employed to analyze the data. SPSS was used for data analysis. Main Results – Survey results are presented in three tables. Table 1, “Awareness of AI among LIS professionals, ” contains 21 statements related to AI use in various library environments and services, including reference (finding articles and citations, content summarization, detecting misinformation), circulation of library materials, security and surveillance, character recognition and document preservation, research data management, language translation, and others. The authors note that 44.1 percent of the respondents agreed that “AI is essential for the effectiveness and efficiency of library service delivery, enabling libraries to enhance and offer dynamic services for their users” (Subaveerapandiyan et al., 2023, p. 506). Table 2, “Perception of AI among LIS professionals, ” contains 10 statements. Over 85 percent of respondents either strongly agreed or agreed that AI “makes library staff lazy” while 58.1 percent either strongly agreed or agreed that AI is a “threat to librarians’ employment” (Subaveerapandiyan et al., 2023, p. 506). The authors note that the “respondents also indicated barriers to the adoption of AI in libraries, such as the lack of LIS professionals’ skills and budgetary constraints” (Subaveerapandiyan et al., 2023, p. 506). Table 3 lists 13 competencies required by library professionals in the AI era. The majority of the respondents (an average of 65 percent) were in strong agreement that “electronic communication, hardware and software, Internet applications, computing and networking, cyber security and network management, data quality control, data curation, database management … are necessary competencies required by LIS professionals for them to be proficient in AI” (Subaveerapandiyan et al., 2023, p. 506). Conclusion – The authors assert that the findings provide strong evidence that LIS professionals perceive AI as playing a significant role in library services in the future based on the study’s favorable findings on AI usage in various library-related contexts. The authors contend that the “research can be used as a resource by library boards and associations to develop policies for implementing artificial intelligence in academic libraries and fills a research vacuum in developing nations like Zambia regarding the knowledge of university and college libraries, and their willingness to use artificial intelligence” (Subaveerapandiyan et al., 2023, p. 503). The authors acknowledge that “the sample is not representative enough to draw general conclusions from the findings. Hence, the study provides a good literal foundation for representative research with a wider sample and more robust research on AI and its applications in LIS” (Subaveerapandiyan et al., 2023, p. 510). © (2024), (University of Alberta). All rights reserved.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45954.6072685185},
  created_by = {laura2910},
  updated_by = {oscar1485},
  status = {Accepted},
  x_title = {A Study on the Knowledge and Perception of Artificial Intelligence},
  x_author = {Dettman, David},
  x_journal = {Evidence Based Library and Information Practice},
  x_year = {2024},
  x_pages = {139 – 141},
  x_volume = {19},
  x_doi = {10.18438/eblip30436},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197421694&doi=10.18438%2feblip30436&partnerID=40&md5=f5666236d860f3d8ac213192ba427fd4}
}
@article{Qi2022Investigation,
  author = {Qi, Quansong},
  title = {Investigation and Analysis of Classroom Teaching Quality in Universities in an Interval Intuitionistic Fuzzy Environment},
  journal = {Mobile Information Systems},
  year = {2022},
  volume = {2022},
  doi = {10.1155/2022/1950877},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135287001&doi=10.1155%2f2022%2f1950877&partnerID=40&md5=9e0c6c94d85c344b1a4c8afa03044958},
  note = {Cited by: 1; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {In recent years, China's economic strength has been developing rapidly. At the same time, people's daily living standards have also been increasingly rising. In this context, the authorities are paying more and more attention to the training of students as well as talents. As a result, the quality of classroom teaching in universities has become a major concern. As an essential evaluation tool for teaching quality, evaluation of classroom teaching has been widely recognised and implemented. With the rapid development of computer technology and information technology, teaching evaluation based on various algorithms has been widely used, thus becoming an increasingly important teaching evaluation method. Thus, classroom teaching assessment has become one of the hot issues discussed in the field of education both at home and abroad. A great number of universities are now fully aware that the effectiveness of teachers is central to their survival and development and can have a direct impact on the training of students. The criteria for evaluating the effectiveness of teaching are highly subjective, but at the same time, there is a considerable degree of objectivity. As a result, the application of more scientific methods and computational data can make the results of classroom assessment more reliable. However, there is a lack of reliable reference data for evaluating the quality of classroom teaching in higher education. In addition, it is difficult to develop an evaluation data management and evaluation management model based on multiple data sources, which may cause a negative effect on the impartiality and objectivity of evaluation results. What is worse, many teachers do not have enough time to interact with their students. After all, most teachers in universities now have a heavy teaching load, and much of their time is spent on lesson preparation. Hence, they usually lack active interaction with their students. In the current education system, the objectives of higher education are mainly test-taking, and practical application is lacking. Therefore, based on the existing teaching basis, how to improve the effectiveness of university classroom teaching and improve the overall quality of students on the basis of test-taking objectives will be a key issue in teaching research. In order to solve this problem, this paper mainly researches the evaluation of classroom teaching quality in universities based on the interval intuitionistic fuzzy theory. This study is based on a detailed analysis of the needs of teaching quality assessment management, in terms of comprehensiveness of assessment and data sources. Then, the teaching evaluation system is designed and developed based on an analysis of the roles of students and teachers. This system can be applied to speed up the efficiency and fairness of teaching evaluation in universities, thereby greatly improving the management of teaching in universities. © 2022 Quansong Qi.},
  document_type = {Article},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45524.9996643519},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Investigation and Analysis of Classroom Teaching Quality in Universities in an Interval Intuitionistic Fuzzy Environment},
  x_author = {Qi, Quansong},
  x_journal = {Mobile Information Systems},
  x_year = {2022},
  x_volume = {2022},
  x_doi = {10.1155/2022/1950877},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135287001&doi=10.1155%2f2022%2f1950877&partnerID=40&md5=9e0c6c94d85c344b1a4c8afa03044958}
}
@article{Dyer2022Rationale,
  author = {Dyer, Anne-Marie and Baab, Kendall Thomas and Merchlinski, Aimee and Valencia-Moulton, Paula A. and Holmes, Beth R. and Pichardo-Lowden, Ariana and Serrano, Jose and Laughlin, Maren R. and Chinchilli, Vernon M.},
  title = {Rationale and Development of a Data Coordinating Center to Support the Type 1 Diabetes in Acute Pancreatitis Consortium},
  journal = {Pancreas},
  year = {2022},
  volume = {51},
  pages = {604 – 607},
  doi = {10.1097/MPA.0000000000002075},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139571583&doi=10.1097%2fMPA.0000000000002075&partnerID=40&md5=a8bc3b1e7cd476d6f5852f01901475af},
  note = {Cited by: 2; All Open Access, Green Open Access},
  source = {Scopus},
  abstract = {A data coordinating center (DCC) is a critical member of any multicenter research undertaking, and that is especially true for the Type 1 Diabetes in Acute Pancreatitis Consortium (T1DAPC). We describe how the T1DAPC DCC supports the consortium via its experience and expertise in project management, administration, financial management, regulatory compliance, scientific coordination, data management, research computing, and biostatistics and in facilitating scientific publications. The DCC's matrix management system has been extremely effective in managing all of its responsibilities. The first 16 months in the life of the T1DAPC have been dedicated to the development of its first protocol, titled Diabetes RElated to Acute pancreatitis and its Mechanisms (DREAM), addressing the institutional review board and regulatory components, developing the T1DAPC data management system, and providing training and certification of clinical center staff. As a result of its efforts, the DCC was a major contributor to the T1DAPC being able to initiate recruitment for the DREAM study in January 2022. © Wolters Kluwer Health, Inc. All rights reserved.},
  document_type = {Article},
  author_keywords = {AE - adverse event; AP - acute pancreatitis; biostatistics; CC - clinical center; CRF - case report form; data management; DCC - data coordinating center; DMS - data management system; DREAM - Diabetes RElated to Acute pancreatitis and its Mechanisms; DSMB - Data and Safety Monitoring Board; ICF - informed consent form; manual of procedures; MOP - manual of procedures; multicenter study; NIH - National Institutes of Health; PI - principal investigator; project management; PSU- Penn State Univers},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1708680556},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Rationale and Development of a Data Coordinating Center to Support the Type 1 Diabetes in Acute Pancreatitis Consortium},
  x_author = {Dyer, Anne-Marie and Baab, Kendall Thomas and Merchlinski, Aimee and Valencia-Moulton, Paula A. and Holmes, Beth R. and Pichardo-Lowden, Ariana and Serrano, Jose and Laughlin, Maren R. and Chinchilli, Vernon M.},
  x_journal = {Pancreas},
  x_year = {2022},
  x_pages = {604 – 607},
  x_volume = {51},
  x_doi = {10.1097/MPA.0000000000002075},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139571583&doi=10.1097%2fMPA.0000000000002075&partnerID=40&md5=a8bc3b1e7cd476d6f5852f01901475af}
}
@article{Merle2024Application,
  author = {Merle, Roswitha and Hoedemaker, Martina and Knubben-Schweizer, Gabriela and Metzner, Moritz and Müller, Kerstin-Elisabeth and Campe, Amely},
  title = {Application of Epidemiological Methods in a Large-Scale Cross-Sectional Study in 765 German Dairy Herds—Lessons Learned},
  journal = {Animals},
  year = {2024},
  volume = {14},
  doi = {10.3390/ani14091385},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192740231&doi=10.3390%2fani14091385&partnerID=40&md5=82e9e44e143656164178c8752a871fe9},
  note = {Cited by: 0; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {From 2016 to 2020, the “PraeRi” study, conducted by three German veterinary universities, was aimed at enhancing animal health and welfare in dairy farms. With 765 dairy farms visited and 101,307 animals examined, this study provided a basis for improving animal health and welfare. The study population comprised three different regions representing a broad variety of characteristics. To ensure representative estimates, a sample size of 250 farms was determined for each region, employing a stratified sampling plan based on farm size. According to the information provided by the farmers, the most commonly occurring disease in their herds was mastitis without general disorder (14.2% to 16.3% of the herd—depending on the region). For most disorders, prevalence data were lowest for the region South compared with the two remaining regions. Multivariable regression analyses were performed to identify risk factors for various target variables, and the results were communicated through individual reports and benchmarking flyers to participating farmers. The authors encountered challenges in management and communication due to the project’s size in terms of personnel, data, and farms examined. Harmonizing data management and hypothesis testing across all involved parties added complexity. © 2024 by the authors.},
  document_type = {Article},
  author_keywords = {cross-sectional study; dairy cows; dairy farms; good epidemiologic practice; incidences of chronic diseases},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1711689815},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Application of Epidemiological Methods in a Large-Scale Cross-Sectional Study in 765 German Dairy Herds—Lessons Learned},
  x_author = {Merle, Roswitha and Hoedemaker, Martina and Knubben-Schweizer, Gabriela and Metzner, Moritz and Müller, Kerstin-Elisabeth and Campe, Amely},
  x_journal = {Animals},
  x_year = {2024},
  x_volume = {14},
  x_doi = {10.3390/ani14091385},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192740231&doi=10.3390%2fani14091385&partnerID=40&md5=82e9e44e143656164178c8752a871fe9}
}
@article{Alami2020Comment,
  author = {Alami, Ramzi S.},
  title = {Comment on: Comparison of short-term outcomes following Roux-en-Y gastric bypass in male and female patients using the MBSAQIP database},
  journal = {Surgery for Obesity and Related Diseases},
  year = {2020},
  volume = {16},
  pages = {e67},
  doi = {10.1016/j.soard.2020.06.038},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089729057&doi=10.1016%2fj.soard.2020.06.038&partnerID=40&md5=71a32a4f32ed6454faabfc6042bd4eda},
  note = {Cited by: 0},
  source = {Scopus},
  document_type = {Editorial},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1717708333},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Comment on: Comparison of short-term outcomes following Roux-en-Y gastric bypass in male and female patients using the MBSAQIP database},
  x_author = {Alami, Ramzi S.},
  x_journal = {Surgery for Obesity and Related Diseases},
  x_year = {2020},
  x_pages = {e67},
  x_volume = {16},
  x_doi = {10.1016/j.soard.2020.06.038},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089729057&doi=10.1016%2fj.soard.2020.06.038&partnerID=40&md5=71a32a4f32ed6454faabfc6042bd4eda}
}
@inproceedings{Junaid2020Successful,
  author = {Junaid, Sameer and Jangda, Zaid},
  title = {Successful deployment of a laboratory information management system LIMs; striding towards modern, paperless labs},
  journal = {International Petroleum Technology Conference 2020, IPTC 2020},
  booktitle = {International Petroleum Technology Conference 2020, IPTC 2020},
  year = {2020},
  doi = {10.2523/iptc-19656-ms},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085775104&doi=10.2523%2fiptc-19656-ms&partnerID=40&md5=16de3282b81a53a1a663c4a4664f42a9},
  note = {Cited by: 1},
  source = {Scopus},
  abstract = {The selection, implementation and benefits of a fully customized Laboratory Information Management System (LIMS), which was deployed in the laboratories of the College of Petroleum Engineering & Geosciences (CPG) at the King Fahd University of Petroleum & Minerals (KFUPM) is discussed. It is one of the innovative initiatives undertaken by CPG to streamline utilization of its facilities and ensure secure data management. The sheer volume and diversity of experiments and measurements performed in the laboratories of CPG required that the management of equipment, data and information be done in a secure and professional way. This required an electronic system, which is efficient, robust and customizable to the specific requirements of the College. Eight different systems were meticulously reviewed and evaluated, from which a system was selected which allowed full customization and strong local support. The implementation was done in multiple phases with extensive training to ease the shift from the traditional lab practices to a complete electronic system. With the implementation of this system, the College can fully track the existence of all equipment in each laboratory, their maintenance and calibration history and keep a comprehensive record of experiments and results. LIMS has also enabled CPG to compile and deploy standard operating procedures or Lab Execution System (LES) for all major equipment in the labs. The Sample Lifecycle feature allows users to login their samples and produce the complete sample report including the analysis, calculations, graphs and images within the LIMS. It also ensures that the sample follows the defined test methods and procedures. Barcode scanning and printing of customized labels further enhance the credibility of the tested samples. A recent upgrade has given users access to the system directly from the web, making it possible to use the system from anywhere. The system has been additionally customized to handle the management of OHS&E, carpool and the e-learning facilities of CPG. Interactive live dashboards enable the users and management to view the system with critical information and data at-a-glance. The CPG customized LIMS has proven to be very effective in our laboratory activities as it has improved the efficiency and quality of work by reducing the potential of human errors, accelerating the throughput of analysis, and enabling sample tracking activities. It is an essential step in the transitioning of CPG laboratories to fully paperless labs where all the data is stored and managed in a fully secure environment. Copyright 2020, International Petroleum Technology Conference.},
  document_type = {Conference paper},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1718518519},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Successful deployment of a laboratory information management system LIMs; striding towards modern, paperless labs},
  x_author = {Junaid, Sameer and Jangda, Zaid},
  x_year = {2020},
  x_doi = {10.2523/iptc-19656-ms},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085775104&doi=10.2523%2fiptc-19656-ms&partnerID=40&md5=16de3282b81a53a1a663c4a4664f42a9}
}
@article{Jiang2022Discussion,
  author = {Jiang, Xu},
  title = {Discussion on the Network Literacy Education System of College Students under the Big Data Media Management Model},
  journal = {Journal of Sensors},
  year = {2022},
  volume = {2022},
  doi = {10.1155/2022/1517051},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137849211&doi=10.1155%2f2022%2f1517051&partnerID=40&md5=8e7924a7b85fb47f2471b1231b78fff4},
  note = {Cited by: 1; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Quality is strengthened by one's own efforts in continuous learning. Quality education is a requirement for enhancing comprehensive national power. In a sense, it is of great significance to carry out quality education for college students, improve national quality, cultivate innovative talents, and ensure the quality of national and innovative talents, which is a prerequisite for social development. Quality education is the requirement of education reform in higher vocational colleges. Since entering the 21st century, many higher education institutions have slowly changed from elite education to mass education and from professional education in the past to professional education and quality education at the same time. This paper focuses on the study of college students' network quality education system under the big data media management mode, using SQL Server big data management system, Oracle big data analysis research, and related score evaluation method to make an overall analysis of the current situation of China's college students' network quality education, and on this basis, we propose to improve academic standards, improve teachers' quality education ability, follow academic freedom and equality, and improve the suggestions of improving academic standards, improving teachers' quality education ability, following academic freedom and equality, improving teacher appointment system, optimizing evaluation system of quality education results, innovating incentive mechanism of university teachers' online quality education, and creating benign development system of university teachers' online quality education are proposed. © 2022 Xu Jiang.},
  document_type = {Retracted},
  selection_criteria = {Estudios que aborden la gestión de datos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45524.949525463},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Accepted},
  x_title = {Discussion on the Network Literacy Education System of College Students under the Big Data Media Management Model},
  x_author = {Jiang, Xu},
  x_journal = {Journal of Sensors},
  x_year = {2022},
  x_volume = {2022},
  x_doi = {10.1155/2022/1517051},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137849211&doi=10.1155%2f2022%2f1517051&partnerID=40&md5=8e7924a7b85fb47f2471b1231b78fff4}
}
@article{Hayes2022Securing,
  author = {Hayes, Kathleen and Meyers, Natalie and Sweet, Christopher and Ashenef, Ayenew and Johann, Tim and Lieberman, Marya and Kochalko, David},
  title = {Securing the Chain of Custody and Integrity of Data in a Global North–South Partnership to Monitor the Quality of Essential Medicines},
  journal = {Blockchain in Healthcare Today},
  year = {2022},
  volume = {5},
  doi = {10.30953/bhty.v5.230},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132746952&doi=10.30953%2fbhty.v5.230&partnerID=40&md5=31f1361995cb097c239f8183babf21c8},
  note = {Cited by: 2; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Substandard and falsified (SF) pharmaceuticals account for an estimated 10% of the pharmaceutical supply chain in low-and middle-income countries (LMICs), where a lack of regulatory and laboratory resources limits the ability to conduct effective post-market surveillance and allows SF products to penetrate the supply chain. The Distributed Pharmaceutical Analysis Laboratory (DPAL) was established in 2014 to expand testing of pharmaceutical dosage forms sourced from LMICs; DPAL is an alliance of academic institutions throughout the United States and abroad that provides high-quality, validated chemical analysis of pharmaceutical dosage forms sourced from partners in LMICs. Results from analysis are reported to relevant regulatory agencies and are used to inform purchasing decisions made by in-country stakeholders. As the DPAL program has expanded to testing more than 1,000 pharmaceutical dosage forms annually, challenges have surfaced regarding data management and sample tracking. Here, we describe a pilot project between DPAL and ARTiFACTs that applies the blockchain to organize and manage key data generated during the DPAL workflow, including a sample’s progress through the workflow, its physical location, provenance of metadata, and lab reputability. Recording time and date stamps with these data will create a permanent and verifiable chain of custody for samples. This secure, distributed ledger will be linked to an easy-to-use dashboard, allow-ing stakeholders to view results and experimental details for each sample in real time and verify the integrity of DPAL analysis data. Introducing this blockchain-based system as a pilot will allow us to test the technology with real users analyzing real samples. Feedback from users will be recorded and necessary adjustments will be made to the system before the implementation of blockchain across all DPAL sites. Anticipated benefits of implementing the blockchain technology for managing DPAL data include efficient management for routing work, increasing throughput, creating a chain of custody for samples and their data in alignment with the distributed nature of DPAL, and using the analysis results to detect patterns of quality within and across brands of products and develop enhanced sampling techniques and best practices. © 2022, Partners in Digital Health. All rights reserved.},
  document_type = {Article},
  author_keywords = {analytical chemistry; blockchain; ledger; pharmaceutical; quality of medicine; supply chain},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1727083333},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Securing the Chain of Custody and Integrity of Data in a Global North–South Partnership to Monitor the Quality of Essential Medicines},
  x_author = {Hayes, Kathleen and Meyers, Natalie and Sweet, Christopher and Ashenef, Ayenew and Johann, Tim and Lieberman, Marya and Kochalko, David},
  x_journal = {Blockchain in Healthcare Today},
  x_year = {2022},
  x_volume = {5},
  x_doi = {10.30953/bhty.v5.230},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132746952&doi=10.30953%2fbhty.v5.230&partnerID=40&md5=31f1361995cb097c239f8183babf21c8}
}
@article{Hakimi2019Vascular,
  author = {Hakimi, Maani and Wortmann, Markus and Böckler, Dittmar and Schirmacher, Peter and Herpel, Esther and Peters, Andreas S.},
  title = {Vascular Biomaterial Banking in Academia},
  journal = {European Surgical Research},
  year = {2019},
  volume = {60},
  pages = {13 – 23},
  doi = {10.1159/000495525},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061326249&doi=10.1159%2f000495525&partnerID=40&md5=a63ceb9ab2ef46251a0616bbc7daf9f0},
  note = {Cited by: 2},
  source = {Scopus},
  abstract = {Background/Purpose: To establish a high-quality vascular biomaterial bank to serve vascular research teams and act as a basis for translational medicine. The aim was to collect and store material so that investigation into the pathogenesis of vascular disease would be possible employing methods based on histopathology and/or molecular biology. Methods: The Vascular Biomaterialbank Heidelberg (VBBH) evolved as part of an established, partly accredited biobank complex at the University of Heidelberg (BioMaterialBank Heidelberg - BMBH). The BMBH provided infrastructure regarding legal and quality issues as well as safety, protocols for specimen collection, data management, and publication of results. Protocols were modified where necessary to accommodate specific needs of vascular tissue research. Correct identification of vascular biomaterial is controlled by certified vascular surgeons and pathologists at biobank entry and exit. Pseudonymized clinical data are attached to every specimen. Results: The VBBH provides standardized operating procedures (SOP) regulating the request, processing, and delivery of material to researchers, as well as project tracking. Tissue samples for a research project are requested by filling out an online application form. Within 3-5 working days, a scientific board, including a member of the VBBH and a member of the BMBH, decide upon acceptance or rejection of the research project. Criteria determining acceptance include whether enough samples are available for the particular investigation and whether planned methods are judged adequate to successfully complete the research project. Through tracking of all ongoing studies involving specimens from the VBBH, methods for tissue conservation are continually being optimized. The VBBH platform has supported numerous high-ranking publications involving diverse medical departments and reflects a gain in translational medicine. Conclusions: SOPs and controls by certified specialists ensure the high quality of specimens obtained through the VBBH. Research performed by vascular surgeons can be facilitated by using the VBBH. © 2019 © 2018 S. Karger AG, Basel. Copyright: All rights reserved.},
  document_type = {Article},
  author_keywords = {Aneurysm; Atherosclerosis; Biobanking; Translational research; Vascular biology},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1728240741},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {Vascular Biomaterial Banking in Academia},
  x_author = {Hakimi, Maani and Wortmann, Markus and Böckler, Dittmar and Schirmacher, Peter and Herpel, Esther and Peters, Andreas S.},
  x_journal = {European Surgical Research},
  x_year = {2019},
  x_pages = {13 – 23},
  x_volume = {60},
  x_doi = {10.1159/000495525},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85061326249&doi=10.1159%2f000495525&partnerID=40&md5=a63ceb9ab2ef46251a0616bbc7daf9f0}
}
@article{Munro2021A,
  author = {Munro, Alana K. and Hunter, Erin C. and Hossain, Syeda Z. and Keep, Melanie},
  title = {A systematic review of the menstrual experiences of university students and the impacts on their education: A global perspective},
  journal = {PLoS ONE},
  year = {2021},
  volume = {16},
  doi = {10.1371/journal.pone.0257333},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114749280&doi=10.1371%2fjournal.pone.0257333&partnerID=40&md5=b207040b8dff2cd91bbab1dc4d7b559b},
  note = {Cited by: 36; All Open Access, Gold Open Access, Green Open Access},
  source = {Scopus},
  abstract = {Background Higher education attainment is linked to improved health and employment outcomes but the impact of university students’ experiences of menstruation on their education is less clear. The objective of this review was to synthesise qualitative and quantitative research on university students’ menstrual experiences and educational impacts. Methods Eligible studies were identified through systematic searching across eight peer-reviewed databases, websites for menstrual health organisations, grey literature databases, and reference lists of included studies. Eligible studies must have reported on at least one of the antecedents or components of menstrual experience outlined in the integrated model of menstrual experience in relation to university students or reported on the impact of their menstrual experiences on their education. Study characteristics and findings were extracted, analysed and presented as a narrative synthesis. The quality of evidence was assessed with the Mixed Methods Appraisal Tool. This study is registered on PROSPERO, number CRD42020178470. Results Eighty-three studies were eligible for inclusion. Most studies (n = 74; 89%) were quantitative and the highest proportion of studies were conducted in lower-middle-income countries (n = 31; 37%). Self-reported dysmenorrhea, other physical and emotional menstrual-related symptoms, and menstrual stigma contributed to negative menstrual experiences among female students. Very few studies considered the menstrual experiences of non-binary and transgender menstruating students, and culturally diverse students. Dysmenorrhea contributed to university absenteeism, impaired participation and concentration, and declining academic performance. Inadequate sanitation facilities for menstrual management and challenges containing menstruation also negatively impacted education. Conclusions Female university students’ experiences of menstruation can negatively impact their education, highlighting the need for program and policy responses at university to improve students’ wellbeing and educational engagement. Further research on the menstrual experiences of gender diverse, migrant and international students is needed as there is insufficient evidence to date. Copyright: © 2021 Munro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.},
  document_type = {Review},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1736574074},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {A systematic review of the menstrual experiences of university students and the impacts on their education: A global perspective},
  x_author = {Munro, Alana K. and Hunter, Erin C. and Hossain, Syeda Z. and Keep, Melanie},
  x_journal = {PLoS ONE},
  x_year = {2021},
  x_volume = {16},
  x_doi = {10.1371/journal.pone.0257333},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114749280&doi=10.1371%2fjournal.pone.0257333&partnerID=40&md5=b207040b8dff2cd91bbab1dc4d7b559b}
}
@article{Wolffers2021An,
  author = {Wolffers, Oliver and Faltys, Martin and Thomann, Janos and Jakob, Stephan M. and Marschall, Jonas and Merz, Tobias M. and Sommerstein, Rami},
  title = {An automated retrospective VAE-surveillance tool for future quality improvement studies},
  journal = {Scientific Reports},
  year = {2021},
  volume = {11},
  doi = {10.1038/s41598-021-01402-3},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119034312&doi=10.1038%2fs41598-021-01402-3&partnerID=40&md5=c0ec1e51edf44e47d0ee44c3582517dc},
  note = {Cited by: 4; All Open Access, Gold Open Access},
  source = {Scopus},
  abstract = {Ventilator-associated pneumonia (VAP) is a frequent complication of mechanical ventilation and is associated with substantial morbidity and mortality. Accurate diagnosis of VAP relies in part on subjective diagnostic criteria. Surveillance according to ventilator-associated event (VAE) criteria may allow quick and objective benchmarking. Our objective was to create an automated surveillance tool for VAE tiers I and II on a large data collection, evaluate its diagnostic accuracy and retrospectively determine the yearly baseline VAE incidence. We included all consecutive intensive care unit admissions of patients with mechanical ventilation at Bern University Hospital, a tertiary referral center, from January 2008 to July 2016. Data was automatically extracted from the patient data management system and automatically processed. We created and implemented an application able to automatically analyze respiratory and relevant medication data according to the Centers for Disease Control protocol for VAE-surveillance. In a subset of patients, we compared the accuracy of automated VAE surveillance according to CDC criteria to a gold standard (a composite of automated and manual evaluation with mediation for discrepancies) and evaluated the evolution of the baseline incidence. The study included 22′442 ventilated admissions with a total of 37′221 ventilator days. 592 ventilator-associated events (tier I) occurred; of these 194 (34%) were of potentially infectious origin (tier II). In our validation sample, automated surveillance had a sensitivity of 98% and specificity of 100% in detecting VAE compared to the gold standard. The yearly VAE incidence rate ranged from 10.1–22.1 per 1000 device days and trend showed a decrease in the yearly incidence rate ratio of 0.96 (95% CI, 0.93–1.00, p = 0.03). This study demonstrated that automated VAE detection is feasible, accurate and reliable and may be applied on a large, retrospective sample and provided insight into long-term institutional VAE incidences. The surveillance tool can be extended to other centres and provides VAE incidences for performing quality control and intervention studies. © 2021, The Author(s).},
  document_type = {Article},
  selection_criteria = {Estudios que no aborden la gestión de datos académicos en contextos educativos},
  created_at = {45499.9006365741},
  updated_at = {45500.1742361111},
  created_by = {laura2910},
  updated_by = {laura2910},
  status = {Rejected},
  x_title = {An automated retrospective VAE-surveillance tool for future quality improvement studies},
  x_author = {Wolffers, Oliver and Faltys, Martin and Thomann, Janos and Jakob, Stephan M. and Marschall, Jonas and Merz, Tobias M. and Sommerstein, Rami},
  x_journal = {Scientific Reports},
  x_year = {2021},
  x_volume = {11},
  x_doi = {10.1038/s41598-021-01402-3},
  x_url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119034312&doi=10.1038%2fs41598-021-01402-3&partnerID=40&md5=c0ec1e51edf44e47d0ee44c3582517dc}
}
